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Zong-Li Lin

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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

FD-SE-LLM, a Semantic-Enhanced Large Language Model Framework for Fault Diagnosis targeting hydropower carbon brush bearings is proposed, which includes a Fault-specific Multi-class Conditional Variational Autoencoder, and an embedded Bearing Time-Adapter to enhance transient pulse sensitivity.

Li-Yan Yang, Li-Qing Zhu, Cheng-Lin Yang et al. · 0 citations

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