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Diagnosis of oil-insulated power apparatus by using neural network simulation

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4 Author(s)
Vanegas, O. ; Nagoya Inst. of Technol., Japan ; Mizuno, Y. ; Naito, K. ; Kamiya, T.

One diagnostic process for oil-insulated power apparatus is based on the analysis of the chemical composition of gases evolved by the insulating oil. Normally this can be done only by a human expert. A considerable amount of information on the relation between chemical components and the faulty part of the power apparatus has been accumulated. This paper describes a neural network system which can be applied to existing diagnostic methods to enable analysis even by inexperienced engineers

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Dielectrics and Electrical Insulation, IEEE Transactions on  (Volume:4 ,  Issue: 3 )