Research on Automatic Detection Method for Arcing Fault of High-Voltage Circuit Breaker
Due to the high-frequency oscillation attenuation characteristics of arcing faults,traditional methods are difficult to accurately detect arcing faults in high-voltage circuit breakers.Based on this,an automatic detection method for arcing faults in high-voltage circuit breakers is studied.Extract time-domain characteristic parameters such as waveform,peak value,root mean square value,margin,kurtosis,etc.of the operating current signal of the high-voltage circuit breaker at the moment of arcing fault.Use SVM to train and learn the extracted time-domain features,classify and identify the normal state and arcing fault state of the circuit breaker,and achieve automatic detection of arcing faults in high-voltage circuit breakers.The results indicate that the maximum deviation between the data detected by the design method and the actual recorded wave data is only 1.46 A,and the detection results are reliable and accurate.
high-voltage circuit breakerarcing faultautomatic detection methodzero point detection
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