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An artificial neural network approach to transformer fault diagnosis

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4 Author(s)
Zhang, Y. ; Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Ding, X. ; Liu, Y. ; Griffin, P.J.

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

Published in:

Power Delivery, IEEE Transactions on  (Volume:11 ,  Issue: 4 )

Date of Publication:

Oct 1996

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