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...

Full description

Bibliographic Details

Published in:	Chinese Control Conference pp. 4835 - 4840
Main Authors:	He, ShiJie, Wang, Zhi-Ming, Liu, Kun-Zhi, Sun, Xi-Ming
Format:	Conference Proceeding
Language:	English
Published:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Subjects:	Accuracy aeroengine Atmospheric modeling Fault diagnosis Feature extraction multi-sensor information fusion Noise Noise reduction sparse denoising autoencoder Training
ISSN:	1934-1768
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!