Automatic Fault Diagnosis System of Energy Metering Device Based on Im-proved Decision Tree Algorithm
The power metering device in the power grid has many problems,such as large weekly inspection work-load,large quantity,high inspection cost,low inspection efficiency and long fault location time.This paper presents an automatic fault diagnosis system based on improved decision tree algorithm.The corresponding online monitoring flow of energy metering device is designed,and the example model is built by combining data mining and decision tree algorithm.The experimental results show that the proposed system can diagnose faults more efficiently,and the accu-racy of automatic diagnosis is higher than that of manual interpretation.
decision tree algorithmelectric energy metering devicefault diagnosisdecision tree depthdata mining
万方数据
维普
