Establish Expert System of Transformer Fault Diagnosis Based on Dissolved Gas in Oil

In order to avoid economic loss caused by transformer fault, it needs to monitor the transformer status in real-time, discovery and handle the transformer fault timely. Using association rule analysis method to mine fault information of transformer, analyze the reliability between the transformer fault and characteristics, revealing the correlation degree of them. Based on the analysis of transformer fault, it put forwards to represent knowledge with production method based on rules, build knowledge database using decision rules, and construct the basic expert system model, which lays the foundation for intelligent diagnosis of transformer. The model uses dissolved gas in oil, electrical parameters etc. as fault judgment, evaluate transformer condition, and enrich the knowledge base of expert system with the evaluation results.