Li-Qing Zhu

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...