On-line Monitoring of Electrical Equipment and Fault Diagnosis Analysis

摘要

In order to improve the reliability of power system, on-line monitoring and fault diagnosis for electrical equipment is very necessary. In this paper, we research on-line monitoring and fault diagnosis of transformer, building the gas online monitoring system in transformer oil, and improved transformer fault diagnosis -characteristic gas method through the BP neural network. Through gas on-line monitoring of transformer oil, and the example verification, improved diagnosis method is effective for transformer fault diagnosis.