Aircraft complex system diagnosis based on design knowledge and real-Time monitoring information

Chen, X, Ren, H, Bil, C and Jiang, H 2018, 'Aircraft complex system diagnosis based on design knowledge and real-Time monitoring information', Journal of Aerospace Information Systems, vol. 15, no. 7, pp. 414-426.


Document type: Journal Article
Collection: Journal Articles

Title Aircraft complex system diagnosis based on design knowledge and real-Time monitoring information
Author(s) Chen, X
Ren, H
Bil, C
Jiang, H
Year 2018
Journal name Journal of Aerospace Information Systems
Volume number 15
Issue number 7
Start page 414
End page 426
Total pages 13
Publisher American Institute of Aeronautics and Astronautics, Inc.
Abstract In current aircraft maintenance, diagnostic and troubleshooting procedures may sometimes consume great time and energy due to large uncertainty especially for highly integrated systems. This study is intended to reduce the diagnostic uncertainty by considering both design knowledge and operational monitoring information. An aircraft brake system is selected as the typical electromechanical system with frequent fault occurrence. A hierarchical Bayesian network is constructed based on fault mode and effect analysis and system composition. This Bayesian network modeling enables a combination of fault mode and effect analysis on safety analysis as prior knowledge and real-Time monitoring events as observation information. A detailed example on posterior update is illustrated followed by sensitivity analyses in parameter setting. This intelligent fault diagnostic approach has the potential to improve the efficiency and accuracy of aircraft system diagnosis.
Subject Aerospace Engineering not elsewhere classified
DOI - identifier 10.2514/1.I010524
Copyright notice Copyright © 2018 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
ISSN 2327-3097
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