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Application of a radial basis function (RBF) neural network for fault diagnosis in a HVDC system

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4 Author(s)
Narendra, K.G. ; Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada ; Sood, V.K. ; Khorasani, K. ; Patel, R.

The application of a radial basis function (RBF) neural network (NN) for fault diagnosis in an HVDC power system is presented in this paper. To provide a reliable pre-processed input to the RBF NN, a new pre-classifier is proposed. This pre-classifier consists of an adaptive filter (to track the proportional values of the fundamental and average components of the sensed system variables), and a signal conditioner which uses an expert knowledge base (KB) to aid the pre-classification of the signal. The proposed method of fault diagnosis is evaluated using simulations performed with the EMTP package

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Power Systems, IEEE Transactions on  (Volume:13 ,  Issue: 1 )