Research on fault diagnosis of porcelain pillar insulators based on vibration signal feature extraction

Porcelain pillar insulators are one of the important equipment in the power system, and their stability plays a crucial role in the normal operation of the power system. During long-term operation, porcelain pillar insulators are susceptible to external environmental and internal structural factors, leading to faults and even accidents in the power system. Therefore, timely detection and accurate diagnosis of faults in porcelain pillar insulators are crucial for the safe and stable operation of the power system. This article is based on extracting vibration signal features to analyze and diagnose the vibration signals of porcelain pillar insulators. A fault feature signal analysis method based on local mean decomposition and principal component analysis is proposed to achieve fast and accurate fault diagnosis of porcelain pillar insulators.