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Publication detail
HAMMER, M.
Original Title
Neural Network with Radial Basis Functions as Residual Lifetime Predictor and Classifier of High Voltage Insulating Materials.
Type
conference paper
Language
English
Original Abstract
This contribution deals with the RBF neural network with radial basis transfer function improvement for residual lifetime prediction and classification of the Relanex insulating material which is used for electric rotary machine winding. This neural network is used for prediction of the residual lifetime of insulating material for the future on the basis of measured values which were measured on the electric machine in previous times. The output from neural network in this case is always a numeric value of magnitude characterizing the state of residual lifetime. The RBF neural network can be used as a classifier, too, where, on the basis of measured input data, the neural network verbally determines the residual lifetime for example and that means that the neural network classifies its state. The classification by neural network means to determine the residual lifetime and to classify those values into the predetermined number of categories which characterize the total state of the insulating system of the electrical rotary machine winding. This contribution describes the input and output magnitudes used, it presents the chosen RBF neural network and then, by means of testing procedures, it checks-up its quality. The RBF neural network for prediction and classification was programmed by the Matlab 6.0 mathematic software
Keywords
Neural Network,Predictor
Authors
Released
1. 7. 2004
Publisher
Petrosani (Romania)
Location
Petrosani
ISBN
973-718-026-7
Book
3rd International Conference, ICPE-CA 2004
Pages from
140
Pages to
143
Pages count
5
BibTex
@inproceedings{BUT17308, author="Miloš {Hammer}", title="Neural Network with Radial Basis Functions as Residual Lifetime Predictor and Classifier of High Voltage Insulating Materials.", booktitle="3rd International Conference, ICPE-CA 2004", year="2004", pages="140--143", publisher="Petrosani (Romania)", address="Petrosani", isbn="973-718-026-7" }