Research on fault diagnosis algorithm of power supply based on case-based reasoning

In order to improve the accuracy and real-time of station power supply system fault repair, the case-based reasoning algorithm is applied. First, the fault case set is organized to build a fault case library and extract feature attributes and fault types; then, the KNN-based algorithm is used to calculate the similarity between the source and target cases for the unprocessed fault data set and the processed fault data set. After the contrast and the analysis, the accuracy of case retrieval after the data processing is higher.