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Oct 2026

A study on an optimized method for wind turbine fault diagnosis based on deep learning algorithms

This study proposes an optimized multi-source fault diagnosis method for wind turbines operating under variable speeds, loads, and noise disturbances. The method addresses weak fault characteristics, class imbalance, and unstable recognition across different operating conditions. Synchronous vibration, current, tempera...

Hong-Hang Wang, Sheng-Dian Liu, Wei Gao · 0 citations
Open access Oct 2026

A Multi-Scale Feature Network for Defect Detection in Substation Equipment

To address the challenges in defect detection of substation equipment, including large variations in target scale, complex background interference, and insufficient recovery of edge details, this paper proposes a defect detection method for substation equipment based on multi-scale feature perception. First, an MSEEM m...

Chang-Zheng Deng, Jing-Ting Huang, Wei Gao et al. · 0 citations

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