Research on Fault Diagnosis Method of High-voltage Circuit Breaker Based on Fuzzy Neural network Data Fusion 1
High-voltage circuit breakers are important electrical equipments which play the role of protection and control in the power network. In order to make the power system operate in a stable and reliable way, it is of great significance to make online fault diagnosis. This paper introduced the method of feature level data fusion using fuzzy neural network,and applied it into the fault diagnosis of high-voltage breakers. The results of the diagnosis showed that the model had good fault identification capability, it could deal very well with both the uncertain knowledge and ambiguous data, as well as improve the accuracy of fault diagnosis.
high-voltage circuit breaker data fusion fuzzy neural network fault diagnosis
Miao Hongxia Wang Honghua
Key laboratory of power transmission, distribution and power saving technology Changzhou China Colle College of Electrical, Hohai University Nanjing China
国际会议
太原
英文
231-235
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）