Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference45 articles.
1. Machine learning for reliability engineering and safety applications: Review of current status and future opportunities;Xu;Rel Eng Syst Saf,2021
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3. Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings;Ding;Rel Eng Syst Saf,2022
4. Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector machines;Manjurul Islam;Rel Eng Syst Saf,2019
5. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution;Wang;Mech Syst Signal Process,2022
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