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31st European Safety and Reliability Conference | 19-23 September 2021, Angers, France

Separated by coma

Special Sessions (to be completed)

  • Advances in physical asset maintenance management

    Organizers

    Sylwia Werbińska-Wojciechowska, sylwia.werbinska @ pwr.edu.pl | Wroclaw University of Science and Technology

    Mitra Fouladirad, mitra.fouladirad @ utt.fr | University Technology of Troyes


    [download pdf]

     

    Description

    This special session has an objective to share the knowledge in both maintenance and asset management. It is intended to provide a platform for common understanding of the role and value provided by the maintenance function, especially in conditions of significant uncertainty occurrence in modern organizations.

    Motivation

    In the presence of ongoing global competition and increasing demands from stakeholders, all companies have begun to focus on achieving higher performances, i.e. higher quality of their products/services, lower costs, or sustainability control. To achieve these goals, effective and balanced management of physical assets becomes particularly important. This implies the necessity of proper performance of maintenance tasks, especially in the fields of setting pre-asset acquisition strategies for planning and initiating assets, asset operation and maintenance, performance monitoring, together with allied asset accounting and economics, or audit and renewal analysis.

    Objective

    This session aims to present the state-of-art of theoretical developments and applications in the area of physical asset management in various industry sectors. The key aspects of this special session
    are, among others:
    - development of technical systems maintenance in conditions of significant uncertainty,
    - assessment of organizations’ maturity in maintenance management,
    - promoting research for innovative approaches to decision support systems and multi-criteria decision making methods,
    - development of assessment methods and presentation of their implementation,
    - development of asset and risk management strategies,
    - reliability and risk assessment in maintenance,
    - resilience engineering.

  • Electromagnetic Risk Management

    Organizers

    Perdriau Richard, richard.perdriau @ eseo.fr | ESEO
    Leppäaho Oskari, oskari.leppaaho @ valeo.com | Valeo GEEDS


    [download pdf]

     

    Description

    Electromagnetic (EM) Risk Management deals with topics that ensure, and assure, safety and reliability of electronic systems under diverse electromagnetic conditions. Most of the work in the field concentrates on managing electromagnetic interference (EMI) risks. EM risk management within the functional safety domain is called EM Resilience, which is covered by standards such as IEC 61000-1-2, and most recently by IEEE 1848. Other emerging topics in EM risk management are handling EM risks of large complex systems and autonomous systems.

    Motivation

    With the increasing use of electronics in safety critical systems in many different industry areas including aerospace, automotive, marine, and medical industries, the challenge of managing the electromagnetic risks needs to be addressed. Traditionally, EM risks have been mitigated inside the electromagnetic compatibility domain, but since 2004 it has become clear that this is not enough. To assure system (functional) safety of systems, new interdisciplinary methodologies managing EM risks in their operation need to be employed. In addition, efficient and cost-effective means to address EM risks in system development need to be identified, to ensure the best compromise between the initial investment and subsequent monetary risks of capability being unavailable.

    Objective

    This special session invites authors to submit works related to the following electromagnetic risk management topics:
    - Electromagnetic resilience of safety critical systems
    - Use of existing safety and reliability engineering methods in EM risk management
    - New methods for EM risk management
    - Managing electromagnetic interference and/or compatibility risks in complex systems
    Authors are invited to submit works on both general methodology development as well as specific case studies.

  • Risk and Resilience Analysis of Interdependent Infrastructures

    Organizers

    Barros Anne, anne.barros @ centralesupelec.fr | CentraleSupélec – Paris Saclay University
    Fang Yiping, yiping.fang @ centralesupelec.fr | CentraleSupélec – Paris Saclay University
    Zeng Zhiguo, zhiguo.zeng @ centralesupelec.fr | CentraleSupélec – Paris Saclay University


    [download pdf]

     

    Description

    Critical infrastructures are more and more highly interdependent, meaning that the services they are supposed to provide are dependent on each other. For example, the availability of a transportation system may depend on the availability of an energy distribution system which may depend on the availability of a telecommunication system. In such a context, risk analysis needs to consider how failures occurring in one given infrastructure affect the other infrastructures performances. Similarly, resilience analysis should focus on the capacity of several interconnect infrastructures to recover from one or more degraded states so that
    a global or a specific end-user performance criteria is satisfied.

    Motivation

    The current state of the art related to risk and resilience analysis for interdependent critical infrastructures is rather poor. Up to now, most of the existing methods are mainly dedicated to one specific type of infrastructure by incorporating the physics, models and functional analysis of the related technical areas (energy distribution, telecom network, transportation systems, etc…). New failure modes and failure propagation due to interdependences between several types of infrastructures are not taken into account, neither their possible mitigation, nor the optimal maintenance strategies to prevent of correct them. In addition, the risk and resilience metrics are often defined at a local level for one given infrastructure and may not highlight properly the different needs of different interconnected infrastructures.

    Objective

    The objective of the session is to gather academics and researchers from industry to discuss recent advances in modelling techniques related to risk and resilience analysis for interdependent infrastructures. We intend also to highlight challenges and problem statements in risk and resilience analysis coming from industry or activity areas dedicated to critical infrastructures management.

  • Adaptative Optimization of Maintenance Strategies for Complex Systems

    Organizers

    Selma Khebbache, selma.khebbache @ irt-systemx.fr | France IRT SystemX
    Kamal Medjaher
    , kamal.medjaher @ enit.fr | France INPT-ENIT, University of Toulouse
    Miguel Anjos, Miguel.F.Anjos @ ed.ac.uk | United Kingdom - The university of Edinburgh 


    [download pdf]

     

    Description

    In the specific context of preventive maintenance strategies, the difficulty is to make the decision to initiate a maintenance sufficiently early while having good confidence in this decision. Making a decision too early may require replanning the strategy and therefore lead to additional costs linked to the reorganization of maintenance teams and of system operations. Conversely, taking a decision too late may result in a high level of confidence but entails additional costs too. It is therefore important to make a decision at the optimal time according to logistical and economic constraints while managing the uncertainty involved.

    Motivation

    In this context, the most important challenge of industrial companies is to set up a methodology to optimize the maintenance strategy for a complex system, as well as its declination into maintenance policies for the various items (design tree seen from a point of view “maintenance” breakdown) and optimization in the type and quantity of the various resources (spare parts, personnel, test and support equipment, repair items, infrastructure).
    It is expected that this session will cover the optimization of maintenance plans for complex industrial systems. Hence, a major focus of this session concerns the different optimization approaches based on heuristics, meta-heuristics and even exact methods for small problems size. Moreover, the session welcomes submissions and proposals dealing with new open research challenges in the context of predictive maintenance and maintenance grouping strategies optimization.

    Objective

    To summarize, the objective of this special session consists in addressing different scientific and technological challenges to optimize the maintenance strategies for complex industrial systems. It is also an important opportunity to share the existing state of the art on adaptive maintenance grouping strategies optimization approaches and benchmarking them.

    Addressed topics ( but not limited ):
    - Maintenance optimization
    - Dynamic production and maintenance scheduling
    - Simulation based optimization
    - Predictive maintenance and optimization
    - Digital twin for maintenance and optimization

  • Human factor in the smart industry

    Organizers

    Monica Luigi, l.monica @ inail.it | Department of technological innovation and safety of plants, products and anthropic settlements (DIT) of INAIL, Italy
    Di Nardo Mario, mario.dinardo @ unina.it | Department of Materials Engineering and Operations Management, University of Naples, "Federico II" Italy


    [download pdf]

     

    Description

    Humans’ new role needs to be recognized in the highly technological and innovative scenario for Industry 4.0, characterized by a set of enabling technologies and a deep interconnection of resources. In the smart factories, interactions among the socio-technical elements make the organizations more complex even if also easy to be controlled for safety. This session focuses on human factors' role in the new interaction with smart devices and collaborative machines.

    Motivation

    The increasing development of new technologies that drive innovation and new applications leads to continuously changing workplaces and organization processes, designing a smart worker's new concept in a smart organization.
    The new cognitive and physical load work is defined in order to design the new smart industry workplaces and tasks inefficiently and safely way considering the arising needs. Furthermore, the current pandemic condition has provided a reactive boost to working remotely, thanks to digitalization and technology.

    Objective

    Different theoretical and practical approaches consider the human factor as a critical role in smart society's design. Several studies concerning all the aspects to define and measure the worker’s performance in a more and more complex organization, also focusing on new models about safety and emerging risks, are some topics discussed in this session.

  • Maintenance and quality decision-making in the context of the industry 4.0

    Organizers

    Amélie Ponchet Durupt, amelie.durupt @ utc.fr | Univ. of Technology Compiègne
    Antoine Grall
    , antoine.grall @ utt.fr | Univ. of Technology Troyes


    [download pdf]

     

    Description

    The Fourth Industrial Revolution is moving towards what has been called a “smart factory”. It includes predictive maintenance based on the use of monitoring technology and the IoT sensors. In this context, production is increasingly organised as ”batchprocess” production, particularly in the context of mass customisation of products. All the information available in production can be used to anticipate changes towards degraded operating modes that lead to non-compliant products. This special session focuses on joint consideration of quality control and maintenance decision-making from both industrial and academic points of view.

    Motivation

    In practice, the units responsible for maintaining the production system and those responsible for ensuring product quality are different and often communicate very little with each other. Most companies engaged in a digitisation process claim to have a lot of data, but often find it difficult to extract relevant and usable information. Faced with these difficulties, they mostly continue to use simple supervision methods. The rapid development of computing capacities and significant theoretical advances in the fields of statistical process control and predictive maintenance make it possible to envisage the development of new integrated product/process approaches.

    Objective

    The objective of this special session is to bring together the views of academics and industrialists in order to exploit all the information available in production, including the control parameters of the production system and the characteristics of the products, so as to anticipate changes towards operating modes that lead to non-compliant products and to optimise maintenance actions.

  • Probabilistic tools for an optimal maintenance of railway systems

    Organizers

    BOUILLAUT Laurent, laurent.bouillaut @ univ-eiffel.fr | Université Gustave Eiffel, GRETTIA
    ANTONI Marc
    , marc.pierre.antoni @ gmail.com | UIC


    [download pdf]

     

    Description

    Reliability analysis and maintenance optimisation has become an integral part of system design and operation. This is especially true for systems performing critical tasks, such as in the railway field.

    Motivation

    If the optimization of maintenance is a particularly challenging issue in most of industrial fields, this is particularly true in the railway industry since it deals with integrated systems, where all parts can interact. Indeed, a degradation on the track can impact the catenary integrity through changes on the rolling stock dynamic. To address this challenging issue that is optimizing the maintenance of such systems, many studies were done using probabilistic tools… from the use of simple lifetime distributions or of specific stochastic processes to the development of decision support tools based on probabilistic graphical models. But, the railway field is in perpetual evolution, with new availability and operating constraints but also with a new need for economical effectiveness. This is the reason why new research are always needed to optimize maintenance strategies for rail systems.

    Objective

    The main objective of this session is to provide a forum for participants, both academics and industrials, to discuss new research for the optimisation of railway maintenance.

  • Bayesian network for reliability modeling and maintenance optimisation

    Organizers

    BOUILLAUT Laurent, laurent.bouillaut @ univ-eiffel.fr | Université Gustave Eiffel, GRETTIA
    LERAY Philippe,
    philippe.leray @ univ-nantes.fr | Université de Nantes, LS2N


    [download pdf]

     

    Description

    Even the most standard stochastic modeling tools for reliability have to be challenged and questioned. This special session focuses on the application of Bayesian network for modeling degradation processes, evaluating reliability or testing maintenance strategies for complex systems. Both academic developments or specific industrial applications are welcome.

    Motivation

    Reliability analysis and maintenance optimization have become integral parts of system design and operation. This is especially true for systems performing critical tasks, such as mass transportation systems, energy production... This explains the numerous advances in the field of reliability stochastic modeling. During the last decade, many studies involving the use of Bayesian networks have proven their relevancy to represent complex systems and perform reliability studies. But many things still have to be done to improve the performance of such a formalism: from new inference algorithms (exact or not) to new modeling approaches or proposals for extensions of the standard Bayesian Networks…

    Objective

    The main objective of this session is to provide a forum for participants to discuss new research, both academic and industrial, on the use of Bayesian network in the reliability field. It will also aim to promote and disseminate the advantages of such a formalism to address dependability challenges.

  • Probabilistic vulnerability estimation, lifetime assessment and climate change adaptation of existing and new infrastructure

    Organizers

    Dr. Mário Coelho, mcoelho @ civil.uminho.pt | University of Minho, Portugal,
    Pr. Emilio Bastidas-Arteaga
    , ebastida @ univ-lr.fr | La Rochelle Université, France


    [download pdf]

     

    Description

    In the present special session, the probabilistic vulnerability and lifetime assessment of existing and new infrastructure to interceptable and non interceptable events under various climate change scenarios is addressed. Adaptation of infrastructure to these new climate change related events is also covered in this special session. For example, coastal infrastructure in the Atlantic area is subjected to progressive deterioration (corrosion) and sudden events (floods, extreme winds, etc.) that affect their serviceability and safety. Therefore, considering the uncertainty associated with the occurrence of the natural hazards, the vulnerability of the infrastructures, as well as the ongoing climate change variability and its effect on both hazard and vulnerability, the use of probabilistic tools is of particularly relevance.

    Objective

    This special session aims at gathering contributions from the research community and industry developing and applying probabilistic tools in the context referred before. The topics include, but are not limited to:

    •  Approaches for uncertainty and spatial variability quantification of structural condition and deterioration processes.
    • Probabilistic service life prediction (e.g., physical or surrogate models), impact quantification and digital twinning considering climate change and variability effects.
    •  Decision-making, mitigation strategies and adaptation of infrastructure systems related to climate hazards.
    • Study cases
  • Effectiveness, Management and Reliability of Natural Risks Reduction Measures and Strategies

    Organizers

    TACNET, Jean-Marc, jean-marc.tacnet @ inrae.fr | Université Grenoble Alpes, INRAE, UR ETNA


    [download pdf]

     

    Description

    To prevent and reduce risks due to natural hazards, several risk reduction strategies including structural, nature-based measures or solutions are implemented by States, Local Authorities and Infrastructures managers. Deterioration of risk reduction and protection works or devices can have dramatic consequences on exposed populations and assets especially in the context of climate global change. Assessing and preserving their effectiveness, reliability and choosing the best maintenance strategies are therefore important issues for their owners and operators.

    Motivation

    People, assets, critical infrastructures, ecosystems are increasingly exposed to consequences of natural phenomenons. The domains of natural and technological, industrial risks have been viewed as different for a long time by practitionners and scientists. The issue of the management of disaster risk reduction measures and strategies, including their effectiveness assessment and maintenance, is at the frontier between those communities: new findings and methodologies are expected to benefit to both communities and all stakeholders involved in risk management.

    Objective

    The goal of this session is to demonstrate and present cross disciplinary approaches between disciplines and domains of industrial, technological risks and natural risks. This session welcomes contributions merging techniques and approaches ranging from risk assessment and engineering, reliability and safey engineering to decision-aiding.

  • Reliability and Maintenance of Networked Systems

    Organizers

    Liang Zheng-Lin, zhenglinliang @ mail.tsinghua.edu.cn | Department of Industrial Engineering, Tsinghua University
    Sun Mu-Xia, muxiasun @ mail.tsinghua.edu.cn | Department of Industrial Engineering, Tsinghua University
    Coit David, coit @ soe.rutgers.edu | Department of Industrial & Systems Engineering, Rutgers University
    Li Yan-Fu, liyanfu @ tsinghua.edu.cn | Department of Industrial Engineering, Tsinghua University


    [download pdf]

     

    Description

    In reliability engineering, significant advancement has been made for the modelling of complex systems. Amongst them, the challenging issues of stochasticity, heterogeneity, dependency have been effectively addressed. It improves the performance of estimating reliability and optimizing maintenance in systems, such as production line, infrastructure system, and power system, etc. Currently, some networked systems, such as 5G telecommunication system, health care system, should also bring to attention due to their significance and high requirement of reliability. How to effectively estimate their reliability and optimize their maintenance policy for such networked systems are still open questions.

    Motivation

    With technology development, new systems such as 5G telecommunication, blockchain have become the backbone for supporting contemporary society. Their reliability is often a matter of stability and security for regions. Furthermore, during the pandemic, health care and vaccine distribution system are critical infrastructures to fight against the COVID19, which also has a low tolerance for disruption. Could reliability engineering provide effective solutions for such types of networked systems is a new and important question that to be answered.

    Objective

    This section aims to invite researchers to share their successful experience and knowledge on the modelling of the reliability and maintenance of practical systems. Innovative approaches to addressing these issues in the context of networked systems, such as the 5G telecommunication system, the health care system, are preferred. A list of related candidate topics includes but not limited to:

    • Reliability assessment for telecommunication systems
    • Risk analysis for health care systems
    • Risk analysis in hierarchical networks
    • Modelling of degradation for practical networked systems
    • Predictive maintenance for networked systems
    • Maintenance optimization for networks
  • Risk management for the design, construction and operation of tunnels

    Organizers

    Assoc. Prof. Konstantinos Kirytopoulos, kkir @ mail.ntua.gr | School of Mechanical Engineering, National Technical University of Athens, Greece
    Dr. Myrto Konstandinidou, myrto @ ipta.demokritos.gr | System Reliability and Industrial Safety Laboratory, National Centre for Scientific Research “Demokritos”, Greece
    Researcher Tonja Knapstad, tonja.knapstad @ hvl.no | Western Norway University of Applied Sciences and University of Stavanger, Norway.

    [download pdf]

     

    A special issue in Journal of Traffic and Transportation Engineering, which is an Open Access Journal, is planned for this session

     

    Description

    Land transport keeps by far leading the transportation sector. In view of that, road and rail infrastructure, and especially its key elements, one of which is tunnels, should guarantee users a high level of safety. Tunnels are used to overcome physical barriers such as mountains, existing roadways and railways or even ease traffic congestion when they are developed within an urban environment. Despite the benefits that they offer, tunnels are difficult to build, maintain and operate.
    During construction, the engineering team has to overcome challenges such as limited information on site conditions, geotechnical uncertainties, as well as seismic activity. But also, during operation accidents can have dramatical consequences. Although in some countries the accident rate within tunnels is lower, accident consequences in tunnels can be much more destructive compared to the rest of the road sections owing to their closed environment. In particular, fire accidents are the biggest risk during tunnels’ operation and has led to huge number of casualties and infrastructure damages in the past.

    Motivation

    Despite the significant progress in developing robust risk analysis methods and techniques over the last few decades, there is still much room for improvement and optimization regarding risk analysis and safety of tunnels during design, construction, and operation. Concepts such as vision zero for road transport combined with the fact that tunnels have rapidly increased worldwide the last ten years motivate researchers for further studies in this area.

    Objective

    This special issue aims to address the following objectives:
    - Provide information regarding the current safety level of tunnels
    - Reveal cases of best practices regarding design, construction and operation of tunnels
    - Expose new methods, processes and tools regarding risk assessment and safety for tunnels
    - Propose sophisticated methods and tools for educating tunnel users and tunnel managers
    - Safety and innovation – two sides of the same coin or in sharp contrast?

  • Risk-Informed Digital Twins for the built environment: toward Sustainability and Resilience Based Engineering (SRBE)

    Organizers

    Umberto Alibrandi, umbertoalibrandi @ eng.au.dk | Aarhus University

    Paolo Gardoni, gardoni @ illinois.edu | University of Illinois at Urbana Champaigne

    Khalid M. Mosalam, mosalam @ berkeley.edu | University of California at Berkeley

    [download pdf]

    Description

    Urban resiliencehas conventionally been defined as the ”measurable ability ofany urban community to maintain continuity through all shocks and stresses,while positivelyadapting and transformingtowardsurban sustainability. Totarget sustainable growth models of the urban communities and green transitionparadigms, city governments are relying more and more on digital technologies.Novels tools, methods and frameworks of data-driven uncertainty quantificationand risk-analysis are going to be developed and implemented to this aim.

    Motivation

    The Digital Twin (DT) is a virtual replica of buildings, processes, structures,people, systems created and maintained in order to answer questions about itsphysical part, the Physical Twin (PT). Multiple sources of uncertainty duringthe lifecycle challenge our prediction capabilites. It follows the significance ofthe Risk-Informed Digital Twin (RDT) for urban resilience and sustainability,uncertainty quantification, random vibrations, risk analysis, decision makingunder uncertainty, network theory, machine learning and computer science arefully integrated.

    Objective

    This special sessions aims at presenting state-of-the-art and new algorithms andtools of data-driven uncertainty quantification and risk analysis, including noveldesign concepts and methodologies related to the broad area of risk-informeddigital twins for the built environment. Practical applications and real worldexamples are encouraged. The contributions of this special session are expectedto lay the foundations of a novel paradigm of Sustainable and Resilient BasedEngineering (SRBE).

  • Risk Analysis and Safety in Standardization

    Organizers

    Landi Luca, luca.landi @ unipg.it | University of Perugia, Italy, Associate professor of Machine Design, president of UNI CT024 – Machine Tools, Italy

    Heinrich Moedden, h.moedden @ vdw.de | German Association of Machine tool builders, Frankfurt. Germany

    [download pdf]

    Description

    This special session was already approved in ESREL 2018 and initially proposed to promote discussion/emerging problems on standardization in the field of Safety of Machinery Directive, 5 articles was submitted and revised by the proposers. In ESREL 20219 the organizer of the Special Session Landi and Moedden, as suggested by the German organizing committee of ESREL 2019, “open” to a more general discussion on emerging problems is standardization on safety. More than 25 articles were submitted and, finally 14 presented in 3 different subsections with different chairs were accepted.One session was “driven by” machine tools problems, the second by general emerging problems on Machine Directive, the third a more general discussion on standardization on tunnel safety and transportation.Due to pandemic the ESREL 2020 initially approved the session but the proposers were not involved in the evaluation process, so we cannot give to the organizing committee any number of the last ESREL 2020. In ESREL 2020 this session was a “regular” session not a special one

    Motivation

    Admittedly, theoretical risk assessment starts in the hypothetical “what if” domain, where theoretical risk can be logically scaled in cause and effect (at the most), but it often cannot be calculated accurately as regards absolute values, since assumptions have to be made always for the situation at hand. Thus, in risk estimations, the necessarily theoretical model-based approach is sensible (probabilities), but it needs to be checked by empirical data (relative frequencies), too.

    On the other side, verifiably founded probabilities, such as e.g. real findings in the operational field and logically deduced probability estimations are better than not scalable subjective good feeling, speculation and pure hypothetical assumption. Isn’t it obvious that the real risk actually can be measured precisely, e.g. in terms of the yearly accident statistics, i.e. in terms of objective numbers? For the sake of operator safety of course, only the real risk reduction matters: it is a combination of a) reducing the magnitudes of consequences of possible failures and, b) simultaneously diminishing the frequencies of such consequences.

    Objective

    Therefore, the new special session tries to support plausible risk considerations connecting theory and reality. This is also a goal of the special session "Risk analysis and safety in standardization", because unfortunately, in the discussions of safety standardization experts, it seems to be the most important goal to establish a formal procedure, which could be suitable to defend against possible product liability suits. Furthermore, a majority of experts prefers simplistic “worst case possibility” models rather than probabilistically scaled realistic methods. Reasonable cause and effect relations do not seem to be important to the majority of experts, neither is a plausible scaling of effects. Corresponding safety designs may be “legally safe”, but their risks to the operators are presumably not at all “as low as reasonably practicable” (ALARP). Only if the decisions that form a safety design are plausibly justified (i.e. objectively), a risk in the ALARP-range can be achieved. Therefore, an understanding of the design requirements is all-important. The aim of the special session is to promote bridging/discussion between academic research and industrial state of the art solutions proposed in the field of standardization of safety related topic

  • Petri Nets in reliability, safety and maintenance

    Organizers

    Brînzei Nicolae, nicolae.brinzei @ univ-lorraine.fr | University of Lorraine

    Andrews John, john.andrews @ nottingham.ac.uk | University of Nottingham

    [download pdf]

    Description

    This special session welcomes papers that address the application of different kinds of Petri net (stochastic, with predicates and assertions, coloured, high level...) for modelling, analyse and probabilistic assessment of systems reliability and safety and maintenance decision-making. Both recent developments on Petri nets (PN) and their applications will be considered.

    Motivation

    In system engineering, the analysis and probabilistic assessment of reliability, safety and maintenance policies are important issues due to the increasing complexity of current systems characterized by grow and large interactions between their components and with their environment. Moreover, the reinforcement of digital integration leads to more failure detection capabilities, and although digital components are more reliable than the analogue components they replace, some characteristics raise specific issues on the modelling and assessment of systems and further increase the complexity of their analysis and assessment. Petri nets have proven to be a powerful tool to take into account the behaviour of complex dynamic systems. Petri nets are able to develop flexible models for components and the whole system allowing a qualitative analysis (by means of analysing the model properties such as reachability of specific safety or dangerous states, liveness or blocking, ...) or quantitative assessment (by means of exact resolution of stochastic processes underlying a PN model or by Monte-Carlo simulation).

    Objective

    The main aim of this special session is to promote and disseminate recent research works on Petri nets and their variants to meet challenges of both academia and industry.

  • Spatial modeling for resilience analysis: from hazards to urban growth

    Organizers

    Contento Alessandro, alessandro.contento @ univaq.it | University of L’Aquila

    Gardoni Paolo, gardoni @ illinois.edu | University of Illinois at Urbana-Champaign

    Alibrandi Umberto, umbertoalibrandi @ eng.au.dk | Aarhus University

    [download pdf]

    Description

    Resilience of communities requires multiscale analyses ranging from hazard modeling, damage assessment, uncertainty quantification and risk analysis, resource managementand allocation, land use, up to the modelingof urban growth. These analysesare generally space-dependentand require inputs from multiple nested models.

    Motivation

    Spatial modeling presents several challenges,such as thedefinition of themodelingscale, the modeling of the dependencies among predictions at different locations, and the quantification of the significant uncertainties in spatial data distributed over large footprints. For asuitable resilience analysis ofcommunities, there is a need to discuss how to address these challenges using,for example,techniques commonly used in spatial modeling, such as random fields and artificial neural networks.

    Objective

    This special sessionaims topresent the state-of-the-art in spatial modeling and allowresearchers to compare and discuss techniquesand toolsused to overcome the different challenges that spatial modelingpresents.

  • Case Studies on Predictive Reliability: an Industrial Perspective

    Organizers

    Bonato Marco, marco.bonato @ valeo.com | Valeo Thermal Systems France

    Remi Laronde, remi.laronde@valeo.com |  (remi.laronde @ valeo.com,)Valeo Visibility Systems France

    [download pdf]

    Description

    The special session aims to present hands-on case studies illustrating modern methods and tools employedto perform reliabilitypredictions within theindustrial environment.Main topics of the session would include:
    - Statistics analysis of final users (usersmission profiling)
    - Strategies for extended warranty period
    - Development of more representative accelerated validation tests
    - Life data analysis of accelerated life tests
    - Pitfalls of product validation (during planning, execution and analysis of accelerated life tests)
    - Digitalized product validation
    - Data Science applied to predictive reliability.

    Motivation

    The digital transformation of manufacturing and production is rapidly shaping modern industry, with some sectors particularly exposed(energy, aerospace, transportation). From a reliability perspective, new challenges are faced also for every-day use products (from smartphones to electrical cars): from the one hand highly reliable products are inprogressive demand among end-users; on the other hand the emergence of highly competitive worldwide markets results in tight profit margins, while extended warranty periods impose more severe validation specifications. In the framework, the importance of reliability predictions during early design phases and throughout the life cycle is a key part of product validation and risk assessment. Modern industry has to adapt to this new scenario, and be able to effectively deploy state of the art methods and tools to perform such predictions.

    Objective

    This special session is dedicated to foster discussion over the state of theart of reliability predictions (methods, tools, models, best practice and lesson learnt) commonly performed on the industry. The objective is to gather applied case studies of such predictions performed by all industrial actors: product manufacturers, tier 1 suppliers, software suppliers, consulting firms, etc.

  • Reliability and Availability Issues of the 5G Revolution

    Organizers

    Christian Tanguy, christian.tanguy @ orange.com | Orange Labs, Châtillon, France

    [download pdf]

    Description

    The deployment of 5G communications will revolutionize huge swathes of industry for which reliability, availability and safety issues have yet to be assessed. This session will provide a forum for discussions of new results, architectures, and ideas: Theoretical papers, models, open problems and industrial use cases are welcome.

    Motivation

    5G promotes three types of services that will profoundly affect current industries and create new ones:
    - Enhanced mobile broadband (eMBB): Increased speeds for applications requiring high data rates (video streaming, virtual reality, etc.).
    - Ultra-reliable low latency communications (URLLC): Low latency for mission-critical services (industrial automation, autonomous driving, smart energy, etc.).
    - Massive Machine Type Communication (mMTC): Internet of Things (connection of huge numbers of sensors and devices).
    Reliability, availability, and system safety aspects of this new industrial territory are still unexplored. It should appeal to and benefit from the ESREL audience.

    Objective

    Facilitate exchanges of results and ideas between academic and industrial researchers, as well as practitioners, willing to address emerging challenges in present and future industries brought by the deployment of 5G communications.

  • Autonomous system safety, risk, and security

    Organizers

    Ramos, Marilia, marilia.ramos @ ucla.edu   | University of California Los Angeles

    Thieme, Christoph A., christoph.thieme @ ntnu.no | Norwegian University of Science and Technology

    Utne, Ingrid B., ingrid.b.utne @ ntnu.no | Norwegian University of Science and Technology

    Mosleh, Ali, mosleh @ ucla.edu | University of California Los Angeles

    [download pdf]

    Description

    Papers submitted to this special session should discuss advancements on autonomous systems under the perspective of safety, risk, and reliability (SRS). Papers addressing the following topics either conceptually or through applications are welcomed:
    ● Risk and safety assessment methods
    ● Safety and security co-analysis
    ● Validation and verification
    ● Intelligent, risk aware systems
    ● Human Reliability and human on the loop
    ● Ethical design and operation
    ● Legal and regulatory aspects of safe operation

    Motivation

    Autonomous systems are emerging and are crucial for enabling new operations, such as autonomous land-based, maritime, and air transportation, mapping and monitoring of oceans and areas on land, and inspections of physical structures that are difficult to access. Autonomous technologies are intended to be a step towards safer and more efficient operations. However, the complexities concerning software and advanced control, human-software-hardware interaction, and emerging failures, pose formidable challenges to identification and removal of cause of functional failure, safety issues, and security concerns.
    Recent accidents have put emphasis on the need to discuss the safety aspect of these systems. The development of safe solutions for autonomous systems are, more than ever, crucial for their use. In particular, it is essential to:
    • Recognize, understand and assess the risks involved with autonomous systems operations;
    • Implement safe solutions in the design phase of these systems;
    • Monitor, follow-up, and ensure that the risk level is acceptable during operation;
    • Establish regulations and procedures that assure safe operations;
    • Communicate safety to society in order to establish trust in autonomous systems.

    Objective

    The object of this special session is to map out challenges and propose solutions with respect to autonomous systems SRS. This special session shall contribute to recognizing cross-industrial and interdisciplinary synergies to address these challenges and develop such solutions.

  • Artificial intelligence for reliability assessment and maintenance decision-making

    Organizers

    Chistophe Bérenguer, Christophe.Berenguer @ grenoble-inp.fr | Univ. Grenoble Alpes
    Phuc Do, phuc.do @ univ-lorraine.fr | University of Lorraine


    [download pdf]

    Description

    In system engineering, reliability assessment and maintenance scheduling are two important issues to keep the system performance more cost-effectively. This special session focuses on the application of artificial intelligence, and in particular advanced machine learning techniques, in reliability assessment and maintenance decision-making. It will also include corresponding challenges to both industry and academia.

    Motivation

    The fast development of computing capacity and advanced machine learning algorithms, along with the availability of huge amounts of data in near real time, has led to the expectation of a new paradigm in designing and performing maintenance.

    Objective

    This special session addresses these emerging issues related to the use of artificial intelligence algorithms/approaches in reliability assessment and maintenance decisionmaking and gathering researchers and practitioners interested and engaged in these topics.

  • Prognostics and Health Management: From Condition Monitoring to Predictive Maintenance

    Organizers

    Dr. Khanh T.P. NGUYEN, tnguyen @ enit.fr | INPT-ENIT, University of Toulouse, France.
    Dr. Zeina AlMASRY, zeina.al.masry @ ens2m.fr | FEMTO-ST, École Nationale Supérieure de Mécanique et des Microtechniques, France.
    Dr. Raymond HOUENGOUNA, raymond.houe-ngouna @ enit.fr | INPT-ENIT, University of Toulouse, France.
    Prof. Kamal MEDJAHER, kamal.medjaher @ enit.fr | INPT-ENIT, University of Toulouse, France.
    Prof. Noureddine ZERHOUNI, noureddine.zerhouni @ ens2m.fr | FEMTO-ST, École Nationale Supérieure de Mécanique et des Microtechniques, France.

    [download pdf]

    Description

    Nowadays, the fourth industrial revolution is making systems more intelligent and ultra-connected day by day. This requires the availability and reliability of production systems as well as the safety of the working environment. One of the levers to achieving these goals is to develop adapted methods, algorithms, and tools that monitor systems to early detect abnormal operating modes, diagnose probable causes, anticipate failures and take appropriate decisions accordingly. These tasks a reconducted in the framework of Prognostics and Health Management (PHM), which allows the development of predictive maintenance strategies to improve systems health states while reducing their maintenance and operating costs.

    Motivation

    In the context of Industry 4.0, the important growing of intelligent and efficient ultra-connected systems poses many challenges for fault detection, diagnostic, prognostics, and maintenance functionalities. Indeed, complex system structures and behaviors need to be studied, analyzed and modeled in a thoughtful and intelligent way. The use of multiple heterogeneous sensor sources requires new powerful methods for acquisition, storage, fusion, and online computing of monitoring data. The prediction of remaining useful lifetime of these complex systems requires effective methods and algorithms for handling multiple sources of uncertainties, such as processes, models, measurements and future operating conditions. The merging of digital and physical worlds leads to an increasing number of options to weigh in the optimization of the entire production and maintenance strategy. To achieve these goals with high accuracy, machine learning techniques are becoming complex and less meaningful tohumans (especially decision-makers). Explainability therefore appears as a mainstream topic to address in PHM community.

    Objective

    This session aims to provide researchers, industrial experts and practitioners the opportunity to present and discuss recent solutions to theabove-mentioned issues, as well as to share new perspectives. The topics of interest include, but are not limited to:

    • Data acquisition, data processing, data fusion and related issues.
    • Data-driven, model-based and hybrid fault detection, diagnostics and prognostics.
    • Uncertainty quantification and remaining useful life bounds for online decision-making.
    • Explainable Artificial Intelligence for Prognostics and Health Management.
    • Decision support for condition-based and predictive maintenance.
    • Case studies on Prognostics and Health Management
  • Safety and Reliability of Intelligent Transportation Systems

    Organizers

    Xie, Min, minxie @ cityu.edu.hk | City Univ of Hong Kong, Hong Kong SAR
    Tsui, Kwok Leung, kltsui @ vt.edu | Virginia Tech, USA

    [download pdf]

    Description

    This special session welcomes papers that address any safety and reliability problemof intelligent transportation systems. We hope to discuss various issues including but not limited to system modelling, prediction and estimation, system maintenance, and the use of artificial intelligence approaches. Papers could be dealing with one transportation mode or an integration of a few. Both analytical and application oriented works will be considered.

    Motivation

    Transportation systems have become verycomplex today, with many different modes of travelling. Transportation systems are also becoming more intelligent with the adaptation of AI technology and approaches.Safety and reliability will be an important and difficult problem. There is a need to have more discussion and further researchon this problem, especially as transportation systems are safety critical and at the same time affect our daily life.

    Objective

    Papers focus on different aspects of safety and reliability related to transportation system will be welcomedin this session. We hope to have both academic research paper and application studies. It will provide authors an opportunity to listen to each other.

  • Advancements in Resilience Engineering of Critical Infrastructures

    Organizers

    Rasa Remenyte-Prescott, r.remenyte-prescott @ nottingham.ac.uk | University of Nottingham, UK, Lead of ESReDA PG on Resilience Engineering and Modelling of Networked Infrastructure
    Giovanni Sansavini, sansavig @ ethz.ch | ETH Zurich, Chair of the ESRA Technical Committee on Critical Infrastructure

    [download pdf]

    Description

    This special session will focus on highlighting and disseminating current state-of-the-art methods and their practical applications in resilience engineering of critical infrastructures. We expect to have contributions for this special session jointly supported by the membership of ESReDA Project Group on Resilience Engineering and Modelling of Networked Infrastructure and by the members of the ESRA Technical committee on Critical Infrastructure.

    Motivation

    We believe that this topic is important to the field of safety and reliability assessment. Our modern society is dependent on many critical infrastructure systems. These include transport networks (rail, metro, highway, air traffic and shipping routes), utilities (electricity, gas, water) and communications (mobile phone, land line phones, internet). The disruption of such systems can have a big impact on the communities that they serve. The nature of the threats to these systems is also changing and includes failures, especially of aging infrastructure, natural disasters, the effects of climate change and deliberate acts such as terrorism. Such critical systems need to be resilient and there is a need for knowledge and skills of how to model and assess resilience of such systems.

    Objective

    To promote and disseminate the current state-of-the-art methods and their applications for improving resilience of critical infrastructures.

  • Accelerated Life Testing & Accelerated Degradation Testing

    Organizer

    David  HAN, david.han @ utsa.edu | University of Texas at San Antonio (USA)

    [download pdf]

    Description

    The accelerated life testing (ALT) and accelerated degradation testing (ADT) subject the test units to more extreme stress levels than normal operating conditions so that more information about the lifetime characteristics of a product or device can be collected rapidly. Through extrapolation, the lifetime distribution at the usage stress is then estimated with an appropriate regression model.

    Motivation

    Thanks to the ever improving manufacturing process and technology, products and devices are becoming highly reliable with substantially long life-spans these days, which makes the standard testing procedure at normal operating conditions practically unfeasible. For gaining sufficient information about the lifetime distribution of a product or even a prototype, such tests are too timeconsuming and costly to the industry. For such reasons, ALT and ADT are not only getting increasingly popular but also necessary as they quickly yield information on the lifetime distribution of highly reliable products in a shorter period of time.

    Objective

    The special session aims to present the contemporary research on statistical modeling, design and inference for accelerated life testing and accelerated degradation testing. The session aims to bring together both academic and industrial researchers and practitioners interested in theoretical developments and practical applications in this reliability field.

  • Digital twin approach in maintenance and safety engineering

    Organizers

    Yiliu Liu, yiliu.liu @ ntnu.no | Norwegian University of Science and Technology NTNU
    Baoping Cai, caibaoping @ upc.edu.cn | China University of Petroleum (East China)

    [download pdf]

    Description

    The recent advances in digitalization have paved the way to more efficient approaches for operations in different industries. Digital twins are regarded as the key to digital transformation, where a twin is not only a visualization of physical asset, but a common set of data and information can be shared across departments throughout the operations lifecycles of the asset. The digital twin approach is expected to be effective to monitor and estimate the performance of physical systems, and provide clues to the real-time decision-making on system operations.

    Motivation

    The digital twin approach is playing an active role in engineering fields, but to date, a gap is still existing between digital twin and most analyses and implementations with the purpose of advising on maintenance strategies and risk controlling measures for accident prevention.

    Objective

    The special session is proposed to share new algorithms, twinning methods and philosophies to integrate the considerations of production and maintenance, data collection, processing and maintenance-related decision-makings, risk issues and risk reduction measures into the digital twin approach, so as to increase system availability and productivity, and prevent accidents in a more cost-effective way.

  • Reliability, Availability and Maintainability of Safety systems

    Organizer

    Florent BRISSAUD, florent.brissaud @ grtgaz.com | RICE GRTgaz, Interim project leader of ISO/TR 12489

    Jon SELVIK, jsel @ norceresearch.no | University of Stavanger and NORCE, Technical editor in ISO/TC67/WG4

    [download pdf]

    Description

    Safety systems range from simple mechanical devices to instrumented technologies, with the purpose of achieving or maintaining a safe state of industrial facilities. This special session focuses on analysis of safety functions performed by such safety systems, and the need for appropriate reliability modelling. The calculation of reliability and availability performance measures of the safety systems requires use of international functional safety standards such as IEC 61508 and IEC 61511, but also of international reliability standards such as ISO/TR 12489. The session will provide method insights and industry examples.

    Motivation

    The reliability and availability calculation of the safety systems is a required activity for assessing the industrial risks and for managing them efficiently. Nowadays, this activity needs to deal with emerging issues, including the digital transition (e.g. advanced functionalities, artificial intelligence, cybersecurity) and the ecological transition (e.g. new challenges, regulatory frameworks, innovative systems). Methods, tools, guidelines and standards need to reflect these subject matters and international standards (IEC and ISO) provide an important baseline for current application and possible future development for relevant stakeholders. The awareness of such standards is the purpose of this special session to show business applications and present innovative works that can contribute to meet reliability objectives and safety requirements for operation of current and future safety systems. The session will focus on oil & gas, electric power and renewables industries, but will also provide experience to other industries.


    Objective

    This special session addresses to authors of works that aim at providing contributions for the reliability and availability calculation of the safety systems, considering characteristics including:
    - digital functionalities and/or artificial intelligence implemented for safety functions,
    - new challenges for safety systems arising from the ecological and/or energy transition,
    - policy and efficiency of preventive maintenance (including proof tests for detecting certain failures) and/or corrective maintenance,
    - human and organization factors addressed to the safety functions,
    - multiple safety systems working and/or interacting together,
    - balance between safety, cybersecurity, production and costs.

  • Decision Science for resilience

    Organizers

    Kammouh Omar, o.kammouh @ tudelft.nl | Delft University of Technology
    Nogal Maria, m.nogal @ tudeflt.nl | Delft University of Technology
    Adey Bryan T., adey @ ibi.baug.ethz.ch | ETH Zurich

    [Download pdf]

    Description

    This special session calls for research works proposing quantifiable approaches to support practitioners in their decision-making process using realistic cases and/or scenarios. Such cases/scenarios should be characterized by the uncertainty of future disturbances (e.g., hazards), the high interdependency among the interconnected systems, and the existence of monetary-based decisions-making, which might conflict with other requirements, such as societal and political interests.

    Motivation

    Resilience assessment of engineering systems has attracted much attention from researchers in the last decade. Nevertheless, practitioners are still struggling to figure out how the tools and methods developed in the context of engineering resilience can be utilized in their daily activities and strategic plans to achieve structures and infrastructure that are proven to be resilient.

    Objective

    Analytical instruments designed to inform and prioritize actions and investments in competitive contexts, real and realistic case studies discussing mitigation plans and strategies, and value for money assessments of programs that aim at boosting the resilience of engineering systems are examples of the topics that this session will support.

  • Degradation analysis and modelling for predictive maintenance

    Organizer


    Olivier Gaudoin, olivier.gaudoin @ univ-grenoble-alpes.fr | Université Grenoble Alpes, Laboratoire Jean Kuntzmann (France)

    [Download pdf]

    Description

    The aim of the session is to present papers on stochastic models of degradation and maintenance, and the statistical analysis of the corresponding data sets, with a view to performing predictive maintenance.

    Motivation

    In order to implement an efficient predictive maintenance strategy, a first step consists in proposing relevant models of degradation and lifetime of industrial systems, which take into account as best as possible all the factors (such as environmental conditions or maintenance effects) that impact the systems reliability. A second step is to develop statistical methods in order to analyze degradation and maintenance data sets. The last step is to derive a predictive maintenance strategy from the first two steps. The session aims to present examples of current research on these topics.

    Objective

    Bring together both academic and industrial researchers interested in theoretical developments and practical applications in this field.

  • AI for safe, secure and dependable operation of complex systems

    Organizers

    Dersin Pierre, pierre.dersin @ alstomgroup.compierre.dersin @ ltu.se | ALSTOM and Luleå Technology University (LTU)
    Fink Olga, fink @ ibi.baug@ethz.ch | ETH-Zürich
    Bérenguer Christophe, Christophe.Berenguer @ Grenoble-inp.fr | Univ. Grenoble Alpes – Grenoble INP

    [Download pdf]

    Description

    This special session will offer a place for discussions and exchanges on how artificial intelligence approaches and techniques can be leveraged in order to operate complex systems in a safe, dependable and secure way. It will also include corresponding challenges to both industry and academia

    Motivation

    Increasingly connected societies and ever-more highly interdependent complex systems raise challenges in many different areas: industry 4.0, multi-modal transportation, telecommunications, energy generation, transmission and distribution, and much more.
    As complexity increases (to the point of leading sometimes to “systems of systems”), at the same time the requirements which those systems have to meet are ever more stringent, as new threats must be confronted in addition to managing traditional risks.
    In the new environment, cyber-attack threats need to be anticipated, detected and countered; at the same time, man-made and natural hazards must be coped with; and systems need to be operated and managed efficiently to achieve very high dependability at reasonable life-cycle costs.
    To meet those sometimes conflicting goals, a holistic vision of operation and maintenance is in order. Decisions must be made at different levels and on different time horizons with all of the above objectives in mind.
    Addressing that problem leads to highly distributed dynamic decision making under uncertainty, dealing with nonlinear feedback loops at several levels. Traditional approaches usually fail to rise fully to these challenges, and this is where AI may help, by leveraging the significant progress made recently in techniques such as deep learning, deep reinforcement learning, transfer learning, physics-informed machine learning, geometric learning and more.

    Objective

    This session proposal aims at opening a session to address these emerging issues related to the use of AI approaches for safe, dependable and secure operation of complex system. Gathering both researchers and practitioners, theoretical advances, new developments as well as opened issues related to AI approaches for complex systems operations, including the maintenance and asset management aspects, will be addressed in the framework of this special session.

  • Balanced System Reliability

    Organizer

    Cui Lirong, Lirongcui @ bit.edu.cn | Beijing Institute of Technology

    [Download pdf]

    Description

    Balanced system has attracted a great deal of attention in reliability theory and applications. Various balanced systems have been introduced and studied in literature by expanding the concepts of balance, using different methods of reliability modeling, considering different system structures and so forth. The reliability analysis of balanced systems was first studied by Hua & Elsayed in 2016, now it is an important and hot topic in reliability area.

    Motivation

    Now although there are less than 20 papers on balanced system reliability in literature, it is sure that the balanced system reliability will have much developed. It is hopeful via this special session in ESRE2021 to promote the development on balanced system reliability.

    Objective

    (1). To promote the development of balanced system reliability;
    (2). To provide some new results in researches and applications on balanced system reliability;
    (3). To extend the future researches and application on balanced system reliability.

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