Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules

Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules

With the improvement in industrial equipment intelligence and reliability requirements, bearing fault diagnosis has become a key technology to ensure the stable operation of mechanical equipment. Traditional bearing fault diagnosis methods are ineffective in diagnosing complex faults and mostly rely...

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Bibliographic Details
Main Authors: Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
bearing failure
domain adversarial
transfer learning
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Online Access:https://www.mdpi.com/1424-8220/25/6/1851
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