The role of reliability graph models in assuring dependable operation of complex hardware/software systems

Patterson-Hine, F. A.; Davis, Gloria; Pedar, A.

doi:10.2514/6.1991-3793

Cited by 1 publication

(1 citation statement)

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“…NASA researchers became interested in graph-based fault diagnosis [6][7][8] around the same time that Pattipati, et al, were conducting their work. In 1993, Iverson and Patterson-Hine 9 of NASA Ames Research Center reported on the development of a new algorithm to improve the performance of directed graph (digraph) based searches that reduced the solution time from hours or days to minutes.…”

Section: Introductionmentioning

confidence: 99%

Functional Fault Model Development Process to Support Design Analysis and Operational Assessment

Melcher

Maul²,

Hemminger

2016

Aiaa Space 2016

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A functional fault model (FFM) is an abstract representation of the failure space of a given system. As such, it simulates the propagation of failure effects along paths between the origin of the system failure modes and points within the system capable of observing the failure effects. As a result, FFMs may be used to diagnose the presence of failures in the modeled system. FFMs necessarily contain a significant amount of information about the design, operations, and failure modes and effects. One of the important benefits of FFMs is that they may be qualitative, rather than quantitative and, as a result, may be implemented early in the design process when there is more potential to positively impact the system design. FFMs may therefore be developed and matured throughout the monitored system's design process and may subsequently be used to provide real-time diagnostic assessments that support system operations. This paper provides an overview of a generalized NASA process that is being used to develop and apply FFMs. FFM technology has been evolving for more than 25 years. The FFM development process presented in this paper was refined during NASA's Ares I, Space Launch System, and Ground Systems Development and Operations programs (i.e., from about 2007 to the present). Process refinement took place as new modeling, analysis, and verification tools were created to enhance FFM capabilities. In this paper, standard elements of a model development process (i.e., knowledge acquisition, conceptual design, implementation & verification, and application) are described within the context of FFMs. Further, newer tools and analytical capabilities that may benefit the broader systems engineering process are identified and briefly described. The discussion is intended as a high-level guide for future FFM modelers.

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Section: Introductionmentioning

confidence: 99%