Feature Fusion Network with Inter-Domain Hybrid Attention Mechanism: A Novel Domain Adaptation Method for Bearing Fault Diagnosis

Author:

Wang Zexiao,Qiu Siqi,Ming Xinguo,Liao XiaoQiang

Publisher

Elsevier BV

Reference40 articles.

1. A new family of model-based impulsive wavelets and their sparse representation for rolling bearing fault diagnosis;Y Qin;IEEE Transactions on Industrial Electronics,2018

2. Gearbox fault diagnosis based on a fusion model of virtual physical model and data-driven method;J Yu,2023

3. Vibration based fault diagnosis of monoblock centrifugal pump using decision tree;N R S S Babudevasenapati;Expert Systems with Applications,2010

4. Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector machines;M M M Islam;Reliability Engineering System Safety,2018

5. Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations;Z Wang;Measurement,2023

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