Fault diagnosis of aircraft engines based on multi-sensor fusion sparse denoising autoencoder

As the heart of an aircraft, it is crucial to accurately grasp the operational status of aeroengines. However, it is difficult to fully reflect the accurate fault status through a single sensor signal, and the diagnostic effect of using input signals in complex environments is not satisfactory. Ther...

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Vydané v:	Chinese Control Conference s. 4835 - 4840
Hlavní autori:	He, ShiJie, Wang, Zhi-Ming, Liu, Kun-Zhi, Sun, Xi-Ming
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Predmet:	Accuracy aeroengine Atmospheric modeling Fault diagnosis Feature extraction multi-sensor information fusion Noise Noise reduction sparse denoising autoencoder Training
ISSN:	1934-1768
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