Bearing fault diagnosis method based on multi-adversarial and balanced distribution adaptation

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (5) : 302-313.

FAULT DIAGNOSIS ANALYSIS

Bearing fault diagnosis method based on multi-adversarial and balanced distribution adaptation

XU Huanwei*, ZHAO Zewei, XIAO Xuyuan, WANG Zhonglai

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Abstract

In actual industrial production, different operating conditions lead to variations in data distribution, posing a challenge for bearing fault diagnosis under different working conditions. To address this issue, a fault diagnosis method based on multi-adversarial and balanced distribution adaptation was proposed. Firstly, an improved residual network was used to directly extract domain-invariant features from the original vibration signals, enhancing feature extraction efficiency while preserving rich fault feature information. Secondly, a domain adaptation method combining correlation alignment and multi-adversarial domain adaptation was proposed, which can simultaneously align marginal distribution and conditional distribution of source domain and target domain to minimize data distribution differences between domains.Thirdly, the balanced distribution adaptation method was improved with designing a balance factor to allocate weights to the marginal distribution and conditional distribution in the adaptation process, so as to enhance cross-domain fault diagnosis effect. Finally, the effectiveness of the proposed method was validated using publicly available bearing fault datasets. Experimental results show that compared to popular domain adaptation methods, the proposed method achieves higher fault diagnosis accuracy, showing practical application value in bearing fault diagnosis tasks under different working conditions.

Key words

bearing fault diagnosis / multi-adversarial domain adaptation / balanced distribution adaptation / residual network / correlation alignment

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XU Huanwei, ZHAO Zewei, XIAO Xuyuan, WANG Zhonglai. Bearing fault diagnosis method based on multi-adversarial and balanced distribution adaptation[J]. Journal of Vibration and Shock, 2025, 44(5): 302-313

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