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...