{"id":3259,"date":"2022-07-04T07:35:36","date_gmt":"2022-07-04T07:35:36","guid":{"rendered":"https:\/\/easyconferences.eu\/imbsa2022\/?page_id=3259"},"modified":"2022-07-04T07:45:19","modified_gmt":"2022-07-04T07:45:19","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/easyconferences.eu\/imbsa2022\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"

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Accepted Papers<\/h1>\n

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  1. A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms<\/strong> C Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos and Nina Dethlefs\u00a0<\/em><\/li>\n
  2. \u00a0Towards Causal Model-based Engineering in Automotive System Safety<\/strong> Robert Maier, Lisa Grabinger, David Urlhart and J\u00fcrgen Mottok<\/em><\/li>\n
  3. \u00a0Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink<\/strong> Sheng Ding, Skander Ayoub and Andrey Morozov<\/em><\/li>\n
  4. \u00a0An AEBS use case for Model-Based System Design integrating Safety Analyses and Simulation<\/strong> Bernard Dion, Bernhard Kaiser and Ilya Tolchinsky<\/em><\/li>\n
  5. COMPASTA: Extending TASTE with formal design and verication functionality<\/strong> Alberto Bombardelli, Marco Bozzano, Roberto Cavada, Alessandro Cimatti, Alberto Griggio, Massimo Nazaria, Edoardo Nicolodi and Stefano Tonetta<\/li>\n
  6. Component Fault and Deficiency Tree (CFDT): Combining functional safety and SOTIF Analysis<\/strong> Marc Zeller<\/em>\u00a0<\/li>\n
  7. \u00a0A Capella-based Tool for the Early Assessment of Nano\/Micro Satellites Availability<\/strong> Guillaume Brau, Eric Jenn and Silvana Radu<\/em><\/li>\n
  8. \u00a0Model-Based Safety Analysis: a Practical Experience<\/strong> Bertille Noisette, S\u00e9bastien Dobol and Laur\u00e8ne Monteil<\/em><\/li>\n
  9. Plug-and-Produce… safely! End-to-End Model-Based Safety Assurance for Reconfigurable Industry 4.0<\/strong> Daniel Hillen, Andreas Schmidt, Daniel Schneider, Nishanth Laxman, Denis Uecker, Jan Reich, Tom Huck, Patrick Schlosser and Christoph Ledermann<\/em><\/li>\n
  10. Engineering Dynamic Risk and Capability Models to Improve Cooperation Efficiency Between Human Workers and Autonomous Mobile Robots in Shared Spaces<\/strong> Jan Reich, Pascal Gerber, Nishanth Laxman, Daniel Schneider, Takehito Ogata, Satoshi Otsuka and Tasuku Ishigooka<\/em><\/li>\n
  11. Practical application of Model-Based Safety Analysis to the Design of Global Operating System of new rolling stock on automatic metro lines<\/strong> Anthony Legendre and Roland Donat<\/em><\/li>\n
  12. \u00a0SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities<\/strong> Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Jan Reich, Panayiotis Kolios, Maria K. Michael, Theocharis Theocharides, Georgios Ellinas, Daniel Schneider and Yiannis Papadopoulos<\/em><\/li>\n
  13. \u00a0Analysing the Impact of Security Attacks on Safety Using SysML and Event-B<\/strong> Ehsan Poorhadi, Elena Troubitsyna and Gy\u00f6rgy D\u00e1n<\/em><\/li>\n
  14. \u00a0Performance assessment of an offshore windmill farm using AltaRica 3.0<\/strong> Michel Batteux, Tatiana Prosvirnova and Antoine Rauzy<\/em><\/li>\n
  15. \u00a0Strategies for modelling failure propagation in dynamics systems with AltaRica<\/strong> Tatiana Prosvirnova, Seguin Christel and Christophe Frazza<\/em><\/li>\n
  16. \u00a0Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring<\/strong> Al-Harith Farhad, Ioannis Sorokos, Andreas Schmidt, Mohammed Naveed Akram, Koorosh Aslansefat and Daniel Schneider<\/em><\/li>\n
  17. \u00a0Modeling the Variability of System Safety Analysis using State-Machine Diagrams<\/strong> Lucas Bressan, Andr\u00e9 Luiz de Oliveira, Fernanda Campos, Leonardo Montecchi, Rafael Capilla, David Parker, Koorosh Aslansefat and Yiannis Papadopoulos<\/em><\/li>\n
  18. \u00a0MBSA in aeronautics: a way to support safety activities<\/strong> Christophe Frazza, Pierre Darfeuil and Jean Gauthier<\/em><\/li>\n<\/ol>\n

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    Accepted Papers A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms C Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos and Nina Dethlefs\u00a0 \u00a0Towards Causal Model-based Engineering in Automotive System Safety Robert Maier, Lisa Grabinger, David Urlhart and J\u00fcrgen Mottok \u00a0Tool Paper: Time Series Anomaly Detection […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"_links":{"self":[{"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/pages\/3259"}],"collection":[{"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/comments?post=3259"}],"version-history":[{"count":2,"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/pages\/3259\/revisions"}],"predecessor-version":[{"id":3263,"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/pages\/3259\/revisions\/3263"}],"wp:attachment":[{"href":"https:\/\/easyconferences.eu\/imbsa2022\/wp-json\/wp\/v2\/media?parent=3259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}