Author

Cunsong Wang

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Open access Aug 2026

Digital twin information adaptive model and measured data fusion based bearing fault diagnosis

Bearings are widely utilized in industrial applications. Their condition critically influences the stability, reliability, and accuracy of the equipment. Traditional fault diagnosis approaches typically depend on comprehensive fault data for accurate identification. However, challenges such as inadequate fault data and...

Cun-Song Wang, Chang-Min Yan, Wenbin Pan et al. · Engineering Research Express · 0 citations

#graph neural networks Open access Sep 2026

A semi-supervised graph learning approach based on dual-stream gated fusion for industry equipment fault diagnosis under extreme label scarcity

This paper proposes the dual-stream gated fusion network coupled with a label propagation system (DSGF-LPS), a semi-supervised graph learning framework integrating robust graph construction, label propagation, and dual-stream gated fusion.

Cun-Song Wang, Chang-Min Yan, Ming-Yu Xu et al. · Measurement science and tech... · 0 citations

2026

A Similarity-Based Multiscale Cluster Region Transfer Network for Cross-Domain Fault Diagnosis of Rolling Bearings

Rolling bearings operate under varying working conditions, posing a significant challenge to achieving high-accuracy bearing fault diagnosis. To enhance the fault diagnosis performance of rolling bearings under cross-domain working conditions and noisy environments, this study proposes a similarity-based multiscale clu...

Xianfeng Li, Jian-Tao Shi, Chuang Chen et al. · IEEE Transactions on Reliabi... · 0 citations