Application of supervised machine learning algorithms in diagnosis of abnormal voltage

This paper introduce a typical supervised machine learning algorithm, which is called C4.5 decision tree classification algorithm. On the basis of analyzing the reason of metering device abnormal voltage, we established a metering device voltage judgment model to evaluate the model performance, then use this model screen out the measurement anomaly, the on-site test results verified the accuracy of the model. This method can effectively improve the accuracy of this kind of abnormal judgment and avoid failure, improve the work efficiency of on-site troubleshooting.