Research on Fault Diagnosis of Low voltage Transformer Based on Sound Feature Analysis

This paper analyzes the frequency spectrum of the sound and vibration signals during the operation of the transformer, extracts various sound characteristics for fault classification, accurately carries out real-time early warning of the operation state of the transformer, reduces the occurrence of various power consumption faults and disasters, and improves the “intelligent” means of transformer management.