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Integrated System Health Management (ISHM) and Autonomy
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Author and Affiliation:
Figueroa, Fernando(NASA Stennis Space Center, Stennis Space Center, MS, United States)
Walker, Mark G.(D2K Technologies, San Diego, CA, United States)
Abstract: Systems capabilities on ISHM (Integrated System Health Management) and autonomy have traditionally been addressed separately. This means that ISHM functions, such as anomaly detection, diagnostics, prognostics, and comprehensive system awareness have not been considered traditionally in the context of autonomy functions such as planning, scheduling, and mission execution. One key reason is that although they address systems capabilities, both ISHM and autonomy have traditionally individually been approached as independent strategies and models for analysis. Additionally, to some degree, a unified paradigm for ISHM and autonomy has been difficult to implement due to limitations of hardware and software. This paper explores a unified treatment of ISHM and autonomy in the context of distributed hierarchical autonomous operations.
Publication Date: Jan 08, 2018
Document ID:
20170012201
(Acquired Dec 19, 2017)
Subject Category: CYBERNETICS, ARTIFICIAL INTELLIGENCE AND ROBOTICS
Report/Patent Number: SSTI-2200-0161
Document Type: Conference Paper
Meeting Information: AIAA SCITech 2018; 8-12 Jan. 2018; Kissimmee, FL; United States
Financial Sponsor: NASA Stennis Space Center; Stennis Space Center, MS, United States
Description: 11p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Public use permitted
NASA Terms: SYSTEMS INTEGRATION; SYSTEMS HEALTH MONITORING; AUTONOMY; COMPUTER PROGRAMS; MODELS; KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE); ANOMALIES; MANAGEMENT SYSTEMS; EXPERT SYSTEMS; ARTIFICIAL INTELLIGENCE
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