The temperature-variation fault diagnosis of high-voltage electric equipment based on information fusion

摘要: As high-voltage electric equipment has complex structure and works in harsh environment, FBG (fiber Bragg gating) sensors were applied to realize the real-time monitoring of some characters which temperature was taken as main factor. Using neural network recognize classify fault types, making a further fusion information by expert system. After simulation experiment, it shows good results, provides effective way exact diagnosis temperature-variation on equipment.