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Fault Management Algorithm Risk Assessment for the NASA Space Launch SystemThis paper presents the false positive (FP) and false negative (FN) risk assessment process currently being conducted for the Space Launch System (SLS) Artemis II Fault Management (FM) detection functions. The analysis scope, general assumptions and guide rules, and key modeling concepts were discussed to establish the basis of the risk assessments conducted. Initial analyses indicated a dominance in the total risk by software and firmware failures. This paper presents efforts applied to refine the software risks and the overall impact of implementing those modifications. Current analyses conducted on the detection functions implemented for the SLS Artemis II mission indicate primary risk drivers for the individual FM detection functions are flight software failures, firmware design failures, and hardware Common Cause Failures (CCFs). There still remains issues of how to account for time and redundancy in the software risk estimations.
Document ID
20230013971
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
William A. Maul
(HX5, LLC)
Yunnhon Lo
(ERC, Inc.)
Edmond Wong
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
September 26, 2023
Subject Category
Space Transportation and Safety
Meeting Information
Meeting: The Annual Reliability & Maintainability Symposium (RAMS)
Location: Albuquerque, New Mexico
Country: US
Start Date: January 22, 2024
End Date: January 25, 2024
Sponsors: The Reliability and Maintainability Symposium
Funding Number(s)
WBS: 585777.02.20.03.02.30
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
probability risk analysis
probabilistic risk assessment
fault tree analysis
false positive analysis
false negative analysis
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