Power Transformer Dga Integrated Diagnosis System Based on Oracle Database

In the paper, a transformer dissolved gas analysis in oil (DGA) fault integrated diagnosis system based on Oracle is developed, and its modules are introduced. Fault diagnosis of transformer is based on three-ratio-method, grey relational entropy, fuzzy clustering, Artificial Neural Network, featured by its analytic hierarchy process to integrated analysis, so as to perfect existing diagnosis methods. The system has realized each module function by layers, and it can diagnose fault in power transformer. The system also can provide figure display and friendly help module. The effectiveness of the system is verified by DGA data in Yunnan Power Grid and other DGA data.