Discharge fault identification of ring network cabinet based on multi-source node data
By identifying the discharge fault point of the ring cabinet,the problem can be quickly located and solved,and the energy loss can be reduced,improving the energy utilization efficiency of the system.Therefore,a discharge fault point identification method for ring cabinet based on composite sensing and multi-source and multi-node data is proposed.A number of sensor data measuring points of ring network cabinet are arranged,and the designed composite sensor is installed at the measuring points.The multi-source and multi-node sensor data of ring network cabinet are collected from the three aspects,including high frequency current,ultrasonic wave and electromagnetic vector,and the discharge signal characteristics of ring network cabinet are extracted to obtain the location and size of discharge fault points.Compared with the traditional identification method,the fault location and size identification errors of the optimized design method are reduced by 8.05 m and 0.035 m2,respectively,which proves that the optimized design method has higher identification performance.
composite sensingmulti source and multi node dataring network cabinetdischarge faultfault point identification
NETL
NSTL
万方数据
