Seguin / Zeller / Prosvirnova Model-Based Safety and Assessment

8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings
1. Auflage 2022
ISBN: 978-3-031-15842-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 13525, 267 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This book constitutes the proceedings of the 8th International Symposium on Model-Based Safety and Assessment, IMBSA 2022, held in Munich, Germany, in September 2022. The 15 revised full papers and 3 short papers presented were carefully reviewed and selected from 27 initial submissions. The papers focus on model-based and automated ways of assessing safety and other attributes of dependability of complex systems. They are organized in topical sections on safety analysis automation, MBSA practices, causal models and failure modeling strategies, designing mitigations of faults and attacks, data based safety analysis, dynamic risk assessment.

Zielgruppe

Research

Autoren/Hrsg.

Seguin, Christel

Zeller, Marc

Prosvirnova, Tatiana

Inhaltsverzeichnis

Safety analysis automation.- An AEBS use case for Model-Based System Design integrating Safety Analyses and Simulation.-  COMPASTA: Extending TASTE with formal design and verification functionality.- MBSA practices.- MBSA in aeronautics: a way to support safety activities.- Modeling the Variability of System Safety Analysis using State-Machine Diagrams.- Model-Based Safety Analysis: a Practical Experience.- Practical application of Model-Based Safety Analysis to the Design of Global Operating System of new rolling stock on automatic metro lines.- Plug-and-Produce... safely! End-to-End Model-Based Safety Assurance for Reconfigurable Industry 4.0.- Causal models and failure modeling strategies.- Strategies for modelling failure propagation in dynamic systems with AltaRica.- Towards Causal Model-based Engineering in Automotive System Safety.- Performance assessment of an offshore windmill farm using AltaRica 3.0.- Component Fault and Deficiency Tree (CFDT): Combining functional safety and SOTIF Analysis.- Designing mitigations of Faults and Attacks.- A Capella-based Tool for the Early Assessment of Nano/Micro Satellites Availability.- Data based safety analysis.- A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms.- Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink.- Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring.- Dynamic risk assessment.- Engineering Dynamic Risk and Capability Models to Improve Cooperation Efficiency Between Human Workers and Autonomous Mobile Robots in Shared Spaces.- SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities.