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An artificial neural network approach to transformer faultdiagnosis
Authors:Zhang   Y. Ding   X. Liu   Y. Griffin   P.J.
Affiliation:Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA;
Abstract:This paper presents an artificial neural network (ANN) approach to the diagnosis and detection of faults in oil-filled power transformers based on dissolved gas-in-oil analysis. A two-step ANN method is used to detect faults with or without cellulose involved. Good diagnosis accuracy is obtained with the proposed approach
Keywords:
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