Research on Transformer Fault Diagnosis System Based on Knowledge Graph

The transformer is an important equipment in power system, whose operational reliability of the transformer is the crucial factor to the system stability. In addition, the knowledge graph is an effective tool for knowledge expression of both the structure data and unstructured data. In this paper, the research on transformer fault diagnosis system based on knowledge graph is carried out, and the influence of different methods are investigated. From the results, it can be seen that the traditional method of the three ratios presents a good adaptability and accuracy for the fault diagnosis. In addition, the inventive method based on the fault cases presents the need for fault cases and a good quality of the similar cases. The inventive method based on the fault cases presents a development potential on the area for the fault diagnosis of transformers. This paper provides a novel direction of the fault diagnosis of transformers.