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Knowledge discovery in neural networks with application to transformer failure diagnosis

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2 Author(s)
Castro, A.R.G. ; INESC, Porto, Portugal ; Miranda, V.

The paper describes a new methodology for mapping a neural network into a rule-based fuzzy inference system. This mapping makes explicit the knowledge implicitly captured by the neural network during the learning stage, by transforming it into a set of rules. The method is applied in transformer fault diagnosis using dissolved gas-in-oil analysis. Studies on transformer failure diagnosis are reported, illustrating the good results obtained and the knowledge discovery made possible.

Published in:

Power Systems, IEEE Transactions on  (Volume:20 ,  Issue: 2 )