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Open access Sep 2026

Safety risk point identification and localization in power equipment based on electromagnetic signals and a multiscale attention convolutional neural network

INTRODUCTION: Safety risk points in power equipment often produce weak and non-stationary electromagnetic responses. These responses are difficult to identify when partial discharge, contact anomalies, insulation deterioration, and shielding defects occur under complex operating conditions. OBJECTIVES: To improve risk...

Si-Wu Yu, Fan Song, Xing Liu et al. · 0 citations

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