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タイトルAutomated System Checkout to Support Predictive Maintenance for the Reusable Launch Vehicle
本文(外部サイト)http://hdl.handle.net/2060/20020063516
著者(英)Wang, Yao; Kulkarni, Deepak; Patterson-Hine, Ann; Lau, Sonie; Deb, Somnath
著者所属(英)NASA Ames Research Center
発行日1998-01-01
言語eng
内容記述The Propulsion Checkout and Control System (PCCS) is a predictive maintenance software system. The real-time checkout procedures and diagnostics are designed to detect components that need maintenance based on their condition, rather than using more conventional approaches such as scheduled or reliability centered maintenance. Predictive maintenance can reduce turn-around time and cost and increase safety as compared to conventional maintenance approaches. Real-time sensor validation, limit checking, statistical anomaly detection, and failure prediction based on simulation models are employed. Multi-signal models, useful for testability analysis during system design, are used during the operational phase to detect and isolate degraded or failed components. The TEAMS-RT real-time diagnostic engine was developed to utilize the multi-signal models by Qualtech Systems, Inc. Capability of predicting the maintenance condition was successfully demonstrated with a variety of data, from simulation to actual operation on the Integrated Propulsion Technology Demonstrator (IPTD) at Marshall Space Flight Center (MSFC). Playback of IPTD valve actuations for feature recognition updates identified an otherwise undetectable Main Propulsion System 12 inch prevalve degradation. The algorithms were loaded into the Propulsion Checkout and Control System for further development and are the first known application of predictive Integrated Vehicle Health Management to an operational cryogenic testbed. The software performed successfully in real-time, meeting the required performance goal of 1 second cycle time.
NASA分類Spacecraft Design, Testing and Performance
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/91384


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