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Fault diagnosis for the Space Shuttle main engine
Author and Affiliation:
Duyar, Ahmet(Florida Atlantic University, Boca Raton, United States)
Merrill, Walter(NASA Lewis Research Center, Cleveland, OH, United States)
Abstract: A conceptual design of a model-based fault detection and diagnosis system is developed for the Space Shuttle main engine. The design approach consists of process modeling, residual generation, and fault detection and diagnosis. The engine is modeled using a discrete time, quasilinear state-space representation. Model parameters are determined by identification. Residuals generated from the model are used by a neural network to detect and diagnose engine component faults. Fault diagnosis is accomplished by training the neural network to recognize the pattern of the respective fault signatures. Preliminary results for a failed valve, generated using a full, nonlinear simulation of the engine, are presented. These results indicate that the developed approach can be used for fault detection and diagnosis. The results also show that the developed model is an accurate and reliable predictor of the highly nonlinear and very complex engine.
Publication Date: Apr 01, 1992
Document ID:
19920045513
(Acquired Nov 22, 1995)
Accession Number: 92A28137
Subject Category: SPACECRAFT PROPULSION AND POWER
Document Type: Journal Article
Publication Information: Journal of Guidance, Control, and Dynamics (ISSN 0731-5090); 15; 384-389
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: NASA Lewis Research Center; Cleveland, OH, United States
Description: 6p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: COMPONENT RELIABILITY; EXPERT SYSTEMS; FAILURE ANALYSIS; FAULTS; NEURAL NETS; SPACE SHUTTLE MAIN ENGINE; COMPUTERIZED SIMULATION; DIAGNOSIS; ERROR DETECTION CODES; FAULT DETECTION; ONBOARD DATA PROCESSING; PARAMETER IDENTIFICATION; PATTERN RECOGNITION; SPACECRAFT MAINTENANCE
Imprint And Other Notes: Journal of Guidance, Control, and Dynamics (ISSN 0731-5090), vol. 15, Mar.-Apr. 1992, p. 384-389.
Availability Source: Other Sources
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