Author

Xin Zhang

2 papers indexed here

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Oct 2026

Time–frequency modalities fusion-driven channel-adaptive contrastive learning for cross-domain fault diagnosis

While supervised learning has achieved significant success recently, its dependency on massive labeled data and poor generalization across different operational domains limit real-world applications in cross-domain fault diagnosis. Self-supervised contrastive learning offers a promising alternative by leveraging unlabe...

Li Jiang, Yi-Yang Zhang, Yi-Bing Li et al. · Structural Health Monitoring · 0 citations

#graph neural networks Open access Sep 2026

Waveform-Prediction Augmentation and Deep Manifold Learning Enable Imbalanced Fault Diagnosis in Rotating Machinery

Fault diagnosis of rotating machinery is essential for ensuring the reliable and safe operation of industrial equipment. However, imbalanced training data often bias intelligent diagnostic models toward majority classes, resulting in insufficient representation of minority faults. In addition, the high dimensionality a...

Yu Tian, Shun-Sheng Guo, Yibing Li et al. · Italian National Conference... · 0 citations