Research on Automatic Detection of Fault Running State of Relay Protection Equipment Based on Decision Tree
Aiming at the problem that the increasing terminal load of relay protection equipment in distribution systems leads to an increasing probability of equipment failure,a decision tree based automatic detection method for the fault operation status of relay protection equipment is proposed.Building a fault automatic diagnosis model based on decision tree algorithm,utilizing machine learning algorithms such as network trained classifiers and regression predictors to improve diagnostic efficiency and accuracy,and automatically detect the fault operation status of relay protection equipment.The results show that compared with traditional methods,the proposed method can quickly and accurately identify the location of faults,proving that the decision tree algorithm has high accuracy in automatic detection of fault operation status of relay protection equipment.
decision tree algorithmrunning state detectionfault detectionrelay protection equipment
NETL
NSTL
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