Fault Diagnosis Method of High Voltage Circuit Breaker based on (RBF) Artificial Neural Network

In this paper a new fault diagnosis method of high voltage (HV) circuit breaker based on (RBF) artificial neural network theory is proposed. In addition, the paper presents a modified algorithm that aims at the defect that the method above cannot study new state type. Then the algorithm is employed in (HV) circuit breaker fault diagnosis. The modified algorithm can not only recognize the aware state but also recognize and find a brand new state type that has not been stored in the table of training sample. Last but not least it has the function of recognizing new state type.