Multidisciplinary Analysis of Fault Management Design for System Autonomy and Resilience

One of NASArsquo;s major technology needs is to increase system autonomy and resilience. To accomplish this, an important tasknbsp;is to connect fault management (FM)nbsp;to systems engineering (SE) and operations.nbsp;In highly reliable systems there must be some means to detect and respond to failure of those functions. Identifying and allocating the requirements and functions for these capabilities is the job of SE.nbsp;There are recent trends to improve SE through the use of models to create model-based SE (MBSE). An approach for performing SE is the Goal-Function Tree representation,nbsp;an improved variant of the classical functional decomposition which can be used for analysis of the physical system,nbsp;and provides a physically accurate representation of requirements traceability in functional success space.Despite their close relationship to SE in practice, SHM/FM practices have remained disjoint. Historically, SHM/FM has been designed into the system only after the nominal system is designed, which essentially makes it a band-aid of the problemsnbsp;without consideration of how these might have been prevented or mitigated. This lends itself to a largenbsp;technology and knowledge gap that result in significant inefficiencies throughout the life cycle.QSI plans to integrate TEAMSreg;nbsp;with GFT to provide a multidisciplinary solution that connects an important SE approach with a tool that provides analytic capabilities for FM design and operations.nbsp;It intends to integrate FM directly within SE from the beginning of a project, thereby suitable for FMnbsp;of future spacecraft. This SBIR: (1) performs FM design analysis of a system design modeled in GFT,nbsp;(2) enables the FM design to be evaluated comprehensively in an operational context by performing FM functions supportingnbsp;extensive set of component-level physical and functional failure scenarios, (3) supports Trade Studies to evaluate merits of FM architecture; (4) enables ldquo;Systemrdquo; level assessment and visualization of FM qualities modeled in the GFT.