OSIRIS – Generation of system-specific failure cases using artificial intelligence based on information from abstract system models

Abstract

The importance of system safety elevates with the introduction of novel technologies in the aviation industry. With the rise of system complexity, regular safety practices include iterative workflows and heavy reliance on expert knowledge. For the development of modern, efficient aircraft systems, there is a need for innovative approaches. This paper presents a tool, OSIRIS (Operational Safety and Integrated RIsk analySis), that supports safety and risk analyses utilizing artificial intelligence (AI) concepts. Developed as a key safety feature within the HADES Modelling Framework, OSIRIS aligns with an architecture-based design approach for abstract system modelling, adhering to Model-Based Systems Engineering (MBSE) principles and standards. It currently aids safety engineers in formulating system failure cases consistent with Functional Hazard Assessments (FHA), representing Model-Based Safety Assessment (MBSA) in compliance with SAE ARP4761A. The methodological concepts and their implementation in OSIRIS are demonstrated considering an abstract system model from aeronautical applications. The generated results were evaluated against the system context to confirm compliance with the FHA process required for certification. Further, the future work will explore refining OSIRIS’s capabilities and its application cases.