Research on Fault Diagnosis for Stator Inter-Turn Circuit Based on Singular Spectral Entropy

The stator winding fault of the generator is one of the crucial causes of power system accidents, and its early and accurate diagnosis is of great significance to ensure the safe and stable operation of the power system. Traditional fault diagnosis methods are limited when dealing with non-linear and non-stationary signals. This paper proposes a stator winding fault diagnosis based on singular spectral entropy to improve the accuracy and timeliness of fault diagnosis. The 35kV distributed system is established through the simulation, and the voltage and current signals at the stator inter-turn circuit are collected. The essential characteristics of the signal are extracted using the method of singular spectral entropy. The simulation results show that this method effectively extracts fault characteristics, improves fault diagnosis accuracy, and provides a reliable auxiliary diagnosis method for the stator inter-turn circuit. This innovative approach offers a promising solution for enhancing power systems' overall performance and reliability, particularly in complex and dynamic operating conditions.