Fault Diagnosis Method for High Voltage Power Metering System Based on the PCA-ELM Algorithm

Abstract

The current fault diagnosis of high-voltage power metering systems lacks the processing of information dimensions, which leads to the low correctness of fault diagnosis results. To this end, a fault diagnosis method based on the PCA-ELM algorithm for high-voltage power metering systems is proposed. Eliminate data information noise. Extract fault information features. Based on PCA to reduce the information dimension, the ELM algorithm is used to analyze the fault information characteristics. The fault information characteristics correspond to the fault types to complete the fault diagnosis of the high-voltage power metering system. Comparative experiments are designed for verification. The measurement results show that the accuracy rate of fault diagnosis for this method is 99.89%, and the average accuracy rate of fault type diagnosis is 98.87%, which substantially improves the correct rate of diagnosis results.