Development of Dissolved Gas Analysis Using ANFIS
نویسندگان
چکیده
This paper proposes the application of Adaptive Neuro-Fuzzy Inference System to improve the diagnosis accuracy of dissolved gas analysis for classification of different types of incipient faults in oil immersed power transformers. The proposed method integrated the capabilities of neural network to the robustness of fuzzy logic system for the effectiveness to be embedded in the network structure. The proposed method has been tested on oil samples of electric utilities of Andhra Pradesh, India and compared with Rogers ratio method, ANN method. The results indicate that the proposed ANFIS method has potential in identification of faults and can be used as an effective tool for classification of faults for power system components.
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