Organizer

Clement Audard - EASA European Union Aviation Safety Agency

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Description

While Urban Air Mobility projects are booming, the aims of this session is to recall the fundamentals when it comes to carry passengers: safety first ...  How could the new players, who do not necessarily have aerospace expertise and so the benefits from the pedigree of century of experience, address those topics incl. newest technologies, such as Lio Ion Batteries, hydrogen, autonomous flights (non-piloted, ...) etc

Organizer

Peter El Hajj - Head of UK National Digital Twin Programme Delivery

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Description

Digital twins still mean different things to different people, but all descriptions seem to share a common characteristic – connection between the physical and the digital worlds. This panel aims to explore the opportunities provided by digital twins in the built environment. Discussions will address examples, challenges and guiding principles of digital twins like federation, trust and purpose

Panel list

Sebastien Coulon - Cofounder/COO - SpinalCom

Emmanuel Di Giacomo - EMEA BIM & AEC Ecosystem Business Development

Mary Juteau - Responsable du Service Information Géographique - Angers Loire Métropole

More TBC

Organizer

Dersin, Pierre, pierre.dersin @ alstomgroup.com (pierre.dersin @ alstomgroup.com) | ALSTOM, France, and Luleå University of Technology(LTU), Sweden

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Abstract

RAM (Reliability-Availability-Maintainability) Engineering is by now a mature discipline, tracing its roots back to the immediate post-World War II period.It deals with statistical properties of a population of assets, characterizestheir failure modes and aims at optimizing the design of future equipment based on past experience, analysis and tests. It takes into account maintenance and operations context and also provides inputs to the elaboration of maintenance plans and logistic support.RAM analysis at the design stage is typicallymodel-based(while exploiting past data), andRAM Monitoring is data-driven but may be supported by models.PHM (Prognostics & Health Management)emerged at the turn of the 21stcentury. It deals typically with individual assets which are equipped withsensors and aims at monitoring their health and its progressivedegradation,so as to diagnose impending failures, and to avoid them by taking preventive actions when possible. Three main pillars of PHM are detection, diagnostics and prognostics.

PHM relies on model-based, data-driven or hybrid approaches.Typically the two communities are separate for historical reasons.The question we would like to raise here is: can the two communities both benefit from stronger links?For example, the first stage in developing a PHM system is a failure mode, mechanisms and effects analysis(FMMEA), which is typically a RAM task. And one key expected outcome from a PHM strategy is increased availability.While RAM focuses on estimating the probability distribution of the lifetime of a population, in a givenenvironmentwith an average mission profile, PHM, on the other hand, focuses on predicting the rate of function loss for an individual asset, with a customized profile and context. RAM deals with discrete events (failures), and metrics such as failure rate and MTTF or MRL (mean residual life); while PHM deals with continuous, degradation data, and metrics such as health indicators (or indices) and RUL (remaining useful life). While RAM leads to maintenance decisions (such as spares management and determination of maintenance intervals)for a whole fleet, PHM supports maintenance decisions for one individual asset.The ‘M’(maintainability) in RAM includestestability, which addresses the ability todetect and diagnosefaults—an essential concern for PHM.The IoT paves the way for individualized monitoring. Both RAM and PHM can be supported by machine learning techniques along with classical statistics. Therefore the borders between the two disciplines may be getting blurred.Can cross-fertilization occur in both directions ? For instance, can PHM not draw on the considerable body of knowledge accumulated by RAM specialistsover decades (including the venerable theories of the ‘founding fathers’, such as Barlow & Proschan, or Gnedenko, which PHM engineers often are not familiar with).And at the same time, cannotRAM Engineering be rejuvenated by machine learning algorithms and perspectives (which often RAM Engineers do not necessarily have in their toolbox)?Should corporate RAMS departments give way to RAM/PHM departments?And what are the implications for higher education and research ?

Panel lists

Kumar, Uday (Prof.), uday.kumar@ltu.se, Luleå University of Technology (LTU), Sweden

Fink, Olga (Prof.), Fink Olga fink@ibi.baug.ethz.ch, ETH-Zürich, Switzerland

Stoelinga, Marielle (Prof.), Marielle Stoelinga m.i.a.stoelinga@utwente.nl, University of Twente, the Netherlands

Remy, Emmanuel, emmanuel.remy@edf.fr, Electricité de France (EDF) R&D, France

Dupouy, Francis, f.dupouy@serma.com, SERMA, France

Jedruszek, Marion, marion.jedruszek@safrangroup.com, (SAFRAN AIRCRAFT ENGINES), France

Organizers

Thieme, Christoph A., christoph.thieme @ ntnu.no (christoph.thieme @ ntnu.no) | Norwegian University of Science and Technology
Ramos, Marilia, marilia.ramos @ ucla.edu (marilia.ramos @ ucla.edu) | University of California Los Angeles
Utne, Ingrid B., ingrid.b.utne @ ntnu.no (ingrid.b.utne @ ntnu.no) | Norwegian University of Science andTechnology
Mosleh, Ali, mosleh @ ucla.edu (mosleh @ ucla.edu) | University of California Los Angeles

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Description
This special session will be organized in the format of a panel for discussing autonomous systems safety, risk, and security (SRS). The session will discuss the results of the First International Workshop on Autonomous Systems Safety (IWASS), as well as early findingsof the 2ndIWASS. Key experts will be invited to discuss autonomous systems SRS from an interdisciplinary and cross-industrialperspective. The panelis expected to present the results from IWASSdiscussions and make them more accessible to a wider audience. Participants may present additional thoughts on the discussions and workshop outcomes.

Motivation

The First IWASS was organized by the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU) and the B. John Garrick Institute for the Risk Sciences at the University of California, Los Angeles (UCLA). IWASS took place in Trondheim, Norway, from March 11thto 13th,2019. The 47 participants were selected and individuallyinvitedto the workshoponly and included 47. Thesubject matter experts came from Europe, Asia, Australia, and the U.S.A., working in both academia and industry.The 2ndIWASS is planned as a virtual event to be held in April 2021.Autonomous systems on land, in the air and on the sea are being widely applied. Thesafety issues concerning these systems are the focus of many research projects and publications, yet each industry and academic field attempts to solve arising safety issues on their own. Given theidentifiable similarities, could common solutions be envisioned and developed? Answering these and related questions motivatesthis panelas an opportunityfor an interdisciplinary discussion on risks, challenges, and foremost potential solutions concerning safe autonomous systems and operations.