Study of transformer fault diagnosis by Fuzzy C-Means method

Power transformer is one of key devices in electric power system. And monitoring the components of dissolved gas-in-oil can discover its incipient fault to avoid availably electric power grid running accidents. As uncertain factors such as fuzziness and random exist among fault causes, fault phenomenon and fault type of power transformer, no correct one to one corresponding relations indwell in fault characteristic quantity and symptom of fault. According to the ideal of cluster analysis, Fuzzy C-Means (FCM) combined is adopted based on thorough analysis of dissolved gas in transformer to quantificational depict aggregation effect of characteristic gas space, which can categorize faults automatically and reasonably in power transformer. Simulation results show the high feasibility and effectiveness of this way.