ABSTRACT:
his 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.
Keywords: Artificial neural network; Network topology; Adaptive back-propagation
algorithm; Dissolve gas analysis; Power transformers
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Saturday, April 4, 2009
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Electric Electrical Engineering Zoon
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