ANN Based Power Transformer Fault Diagnosis

Abstract:

This paper presents as Artificial Neural Network (ANN) technique to recognize the incipient faults of power transformers. The technique presented in this paper improves the diagnosis accuracy of the conventional dissolved gas analysis (DGA) approaches. The ANN is trained by using Adaptive Back-propagation learning algorithm that converges much faster than the conventional Back-propagation algorithm.The developed ANN system for the power transformer fault diagnosis has superior performance in fault diagnosis has superior performance in fault diagnosis as compared to the conventional methods.

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