Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN

Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN

A fault diagnosis model for aviation bearing is proposed to tackle the challenge of feature extraction from bearing vibration signals amidst noise. This model combines a long short-term memory (LSTM) network with an improved deep residual shrinkage network (IDRSN) based on semi-soft threshold optimi...

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Bibliographic Details
Main Authors:	Lei Wang, Kun He, Haipeng Fu, Weixing Chen
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Bearing fault diagnosis deep residual shrinkage network long short-term memory network noise interference
Online Access:	https://ieeexplore.ieee.org/document/10852206/
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