LIU Qin, PENG Zaixing, WANG Song, et al. Fault Current Curves Identification of Circuit Breaker Opening/Closing Coil Based on Random Forest Algorithm[J]. High VoltageApparatus, 2019, 55(7): 93-100.
LIU Qin, PENG Zaixing, WANG Song, et al. Fault Current Curves Identification of Circuit Breaker Opening/Closing Coil Based on Random Forest Algorithm[J]. High VoltageApparatus, 2019, 55(7): 93-100. DOI: 10.13296/j.1001-1609.hva.2019.07.014.
Fault Current Curves Identification of Circuit Breaker Opening/Closing Coil Based on Random Forest Algorithm
To identify the fault types of high-voltage circuit breaker accurately and reliably
a fault diagnosis methodfor high voltage circuit breaker is formed. In this paper
the reclosing coil current of HV circuit breaker under differ-ent conditions is analyzed
in order to extract time and current as characteristic parameters to form training set. Com-bining random forest algorithm(RF)with training set
random forest classifier is established to distinguish faulttypes of high voltage circuit breakers efficiently. Experiments show that the algorithm can accurately distinguish thefault of high voltage circuit breaker
which greatly improves the utilization rate and efficiency of HV circuit breaker.