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28 February 2024 Fault diagnosis for the aircraft system
Tao Chu, Chunxia Yin
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Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130710D (2024) https://doi.org/10.1117/12.3025524
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
The complexity of modern aircraft systems makes the causes of aircraft faults complex and diverse, resulting in difficulty in fault location. This paper elaborates the related research of fault diagnosis for the aircraft system and labors intelligent methods of fault diagnosis. In the fault diagnosis test based on the actual fault data reported by a certain type of aircraft, the fault location accuracy of the fusion method is generally better than that of the single method, and fusion diagnosis method based on rough set theory and BP network is the best. Obviously, it is an inevitable trend that different diagnosis methods are effectively fused to locate automatically the fault of aircraft system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Tao Chu and Chunxia Yin "Fault diagnosis for the aircraft system", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130710D (28 February 2024); https://doi.org/10.1117/12.3025524
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KEYWORDS
Neural networks
Diagnostics
Data fusion
Failure analysis
Intelligence systems
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