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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Bo Zhang

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Aug 2026

Dynamic pseudo-label guided adversarial multi-scale graph convolutional network for cross-domain fault diagnosis.

A Dynamic Pseudo-Label Guided Adversarial Multi-Scale Graph Convolutional Network (DPAMGCN) for unsupervised cross-domain fault diagnosis and a dynamic threshold-based pseudo-label filtering strategy is proposed that enhances the model's generalization capability.

Jinqi Gao, Bo Zhang, Tianlong Huo et al. · 0 citations
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
Jul 2026

A generalization bearing fault diagnosis method via joint hierarchical suppression of domain features

A novel joint hierarchical suppression framework is developed, which collaboratively operates on channel and spatial dimensions under domain label supervision to identify and remove domain-specific features in shallow network layers and is embedded into fully connected layers to drive the model to learn residual domain...

Tianlong Huo, Rongzhen Zhao, Jun Gong et al. · 0 citations

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