Transformer Fault Diagnosis and Location Method Based on Fault Tree Analysis

Abstract

Fiber optical current transformer (FOCT) is widely used in power systems for fault diagnosis and analysis, which can improve its operational reliability. Construct fault modes and fault trees based on fault data of all fiber current transformers, and construct a fault feature space. Constructing a fault diagnosis expert system using fault trees and fault feature space clustering centers to achieve accurate diagnosis of fault types, patterns, and components. The proposed method was validated using fault data and case studies of all fiber current transformers in a regional power grid, and the results showed that: The on-site fault case is closest to the cluster center of drift deviation fault, so it belongs to drift deviation fault. Further extract the on-site maintenance report, which indicates that the operating temperature of the all fiber current transformer is relatively high. The diagnostic results of the fault diagnosis expert system for the faulty all fiber current transformer are consistent with the actual results on site, verifying the accuracy and reliability of this method.