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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Veröffentlicht in:	Chinese Control Conference S. 4835 - 4840
Hauptverfasser:	He, ShiJie, Wang, Zhi-Ming, Liu, Kun-Zhi, Sun, Xi-Ming
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Schlagworte:	Accuracy aeroengine Atmospheric modeling Fault diagnosis Feature extraction multi-sensor information fusion Noise Noise reduction sparse denoising autoencoder Training
ISSN:	1934-1768
Online-Zugang:	Volltext
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