Author

Zhen-Zhen Jin

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Open access Sep 2026

Counterfactual domain generalization with adaptive source reweighting and causal disentanglement for bearing fault diagnosis

The robustness and reliability of bearing fault diagnosis are crucial for ensuring the safe operation of complex rotating machinery. However, differences in operating conditions and machinery can lead to substantial domain shifts, thereby degrading the generalization performance of conventional deep learning models und...

Chun-Yang Dai, En-Yong Xu, Yuan Xu et al. · Measurement science and tech... · 0 citations

Open access Jul 2026

A multi-level constrained vibration–acoustic multimodal contrastive learning for cross-machine motor fault diagnosis

A novel vibration–acoustic multimodal contrastive learning framework designed to jointly regularize vibration–acoustic features at the levels of sample distribution, feature statistics, and feature structure enhances multi modal consistency, feature discriminability, and information diversity.

Yuan Zhuang, Deqiang He, Zhen-Zhen Jin et al. · Measurement science and tech... · 0 citations

Open access Jul 2026

A Few-Shot Fault Diagnosis Algorithm for Rotating Machinery Based on Time-Frequency Dual-Stream Mamba and Joint Metric Learning

Experimental results show that the proposed few-shot fault diagnosis method consistently outperforms comparison methods under different rotational speeds, training sample scales, and 8-way 1-shot/5-shot tasks, validating its effectiveness and robustness for few-shot rotating machinery fault diagnosis.

Yuan Xu, Boning Wu, Yingnan Gao et al. · Algorithms · 0 citations