Author

Cheng-Lin Yang

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Open access Sep 2026

FD-SE-LLM: A Semantic-Enhanced Large Language Model Framework for Fault Diagnosis of Hydropower Carbon Brush Bearings

Cross-condition fault diagnosis remains a fundamental challenge in intelligent operation and maintenance of hydropower equipment, where deep learning methods suffer 20%−30% accuracy degradation under operating condition drifts. Large language models (LLMs), through massive multi-domain pre-training, offer cross-domain...

Li-Yan Yang, Li-Qing Zhu, Cheng-Lin Yang et al. · Journal of Dynamics Monitori... · 0 citations

Open access Jul 2026

Source-free domain adaptation via robust pseudo-label optimization for cross-domain wind turbine bearing diagnosis

Results indicate that DPR-PLO provides a feasible and robust solution for privacy-preserving bearing health management in new wind turbines, and adopts a two-stage pseudo-label refinement procedure to reduce noise propagation during self-training.

Haoyang Mao, Yiming Zhang, Weizheng Zhao et al. · Measurement science and tech... · 0 citations