Fault diagnosis for high voltage circuit breaker based on timing parameters and FCM

Abstract

The high voltage circuit breaker (CB) play an important role in the power systems, so fault diagnosis of CB has great significance. A new fault diagnosis method based on timing parameters and Fuzzy C-means clustering (FCM) is proposed in this paper. First, the cause of CB vibration signal is analyzed theoretically, it is found that the vibration events will be change in different states. Then the short time energy entropy ratio of vibration signal is calculated, which can enhance the impact feature of vibration event. The occurrence time and the end time of vibration events are extracted as feature vector by the double threshold method. Finally, FCM is used to calculate the cluster center of feature vector, depending on the approach degree, fault diagnosis of CB is completed. The experimental test shows that the proposed method can extract feature vector effectively and diagnose the fault type of CB accurately.