An Analysis of Early-Stage Functional Safety Analysis Methods and Their Integration into Model-Based Systems Engineering
摘要
As systems become increasingly complex, conducting effective safety analysisSafety analysis in the earlier phases of a systems’ lifecycle is essential to identify and mitigate risks before they escalate. To that end, this paper investigates the capabilities of key safety analysisSafety analysis techniques, namely: Failure Mode and Effects Analysis (FMEAFailure Modes and Effects Analysis (FMEA)), Functional Hazard Analysis (FHA)Functional Hazard Analysis (FHA), and Functional Failure Identification and Propagation (FFIPFunctional Failure Identification and Fault Propagation (FFIP)), along with the current state of the literature in terms of their integration into Model-Based Systems EngineeringSystems engineering (MBSEModel Based Systems Engineering (MBSE)). A two-phase approach is adopted. The first phase is focused on contrasting FMEAFailure Modes and Effects Analysis (FMEA), FHAFunctional Hazard Analysis (FHA), and FFIPFunctional Failure Identification and Fault Propagation (FFIP) techniques, examining their procedures, along with a documentation of their relative strengths and limitations. Our analysis highlights FFIPFunctional Failure Identification and Fault Propagation (FFIP)’s capability in identifying emergent system behaviors, second order effects, and fault propagation; thus, suggesting it is better suited for the safety needs of modern interconnected systems. Second, we review the existing research on the efforts to integrate each of these methods into MBSEModel Based Systems Engineering (MBSE). We find that MBSEModel Based Systems Engineering (MBSE) integration efforts primarily focus on FMEAFailure Modes and Effects Analysis (FMEA) and integration of FHAFunctional Hazard Analysis (FHA) and FFIPFunctional Failure Identification and Fault Propagation (FFIP) is nascent. Additionally, FMEAFailure Modes and Effects Analysis (FMEA)-MBSEModel Based Systems Engineering (MBSE) integration efforts could be organized in four categories: model-to-model transformation, use of external customized algorithms, built-in MBSEModel Based Systems Engineering (MBSE) packages, and manual use of standard MBSEModel Based Systems Engineering (MBSE) diagrams. While our findings indicate a variety of MBSEModel Based Systems Engineering (MBSE) integration approaches, there is no universally established framework or standard. This leaves room for an integration approach that could support the ongoing Digital EngineeringDigital Engineering (DE) transformation efforts by enabling a more synergistic lifecycle safety management methods and tools.