Fault Detection Method for Secondary Circuit of Relay Protection Based on Fuzzy Mean Clustering
The secondary circuit of relay protection involves numerous lines and equipment,and the fault detection efficiency is low.Therefore,a fault detection method for the secondary circuit of relay protection based on fuzzy mean clustering is designed.Collect status data of the secondary circuit of relay protection,apply fuzzy mean clustering algorithm to process this data,and accurately classify fault modes with similar characteristics through the intelligent classification function of the algorithm.Based on the classified fault characteristics,a secondary circuit fault detection model is constructed,and through the output results of the model,accurate positioning of secondary circuit faults in relay protection is achieved.The results show that the fault detection efficiency of the relay protection secondary circuit fault detection method based on fuzzy mean clustering is above 94%,with fluctuations not exceeding 1%.This proves that the design method has high detection efficiency and can effectively achieve fault detection of the relay protection secondary circuit.
fuzzy mean clusteringrelay protectionsecondary circuitfault detectiondeep learning
万方数据
维普
