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ANN based transformer fault diagnosis using gas-in-oil analysis

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1995

Year

Abstract

This paper presents an artificial neural network (ANN) approach to detect faults in oil-filled power transformers. The relationship between transformer faults of power transformers and gases dissolved in insulating oil is reviewed. ANN based data processing and diagnostic techniques are described. Preliminary simulation results show a 95% correct diagnosis rate for the ANN based method with modest amount of training data.