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Author

Jiabing Zhou

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Open access Aug 2026

A Study on Domain Generalization Methods for Rolling Bearing Fault Diagnosis Based on Mean Differences and Domain Adversarial Learning

A multiscale one-dimensional convolutional network is employed to extract fault impact features and periodic features across different time scales, and mean difference constraints between source domains are introduced in the feature space to reduce the offset in the centers of feature distributions across different sou...

Jiabing Zhou, Xiang Gu, Bo Zhang et al. · 0 citations
Open access Aug 2026

A Method for Domain Generalization in Rolling Bearing Fault Diagnosis Based on Mamba and Causal Prototype Decoupling Constraints

To address the insufficient generalization capability of rolling bearing fault diagnosis models under complex operating conditions such as variable rotational speed, variable load, and variable radial force, this paper proposes a domain generalization fault diagnosis method based on Mamba feature extraction and causal...

Jiabing Zhou, Xiang Gu, Bo Zhang et al. · 0 citations

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