A Fault Detection Method of High Voltage Circuit Breaker Based on Vibration Signal Feature Extraction
High-voltage circuit breakers are important high-voltage switchgears in power system,and realize control and protection of the system mainly through circuit opening and closing.However,mechanical impact will occur when a high-voltage circuit breaker switches,and excessive impact-induced mechanical vibration usually lead to mechanical failure and consequently negative impact on mechanical state of the breaker itself,and even damage to stability and safety of the system.Therefore this work studied a fault detection method of high-voltage circuit breaker operating with controllable switching based on vibration signal feature extraction.The vibration signals of high-voltage circuit breakers were analyzed by wavelet change technique and the characteristics of vibration signals are extracted by recursive decomposition.A data set was established based on the extracted signal features,and a discrimination matrix was constructed based on the attribute definition.The phase space of vibration signal features was divided by the attribute constraint relation.According to the phase space of different vibration signal characteristics,the fault signal of the high-voltage circuit breaker was reconstructed in their respective phase space.After signal reconstruction,the corresponding phase relationship was obtained to detect the operation fault of the high-voltage circuit breaker.The experimental results show that the new method can achieve higher detection accuracy by selecting different fault types as test objects and mixing all kinds of faults,and has application value.
vibration signalfeature extractionhigh voltage circuit breakercontrollable switchingrunning failure
NETL
NSTL
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