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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/114

Title: Application of neural nets for modelling partial discharge phenomenon
Authors: Ghosh, S
Kishore, N K
Keywords: feedforward neural nets
insulation testing
multilayer perceptrons
partial discharges
Issue Date: 2000
Publisher: IEEE
Citation: Proceedings of IEEE International Conference on Industrial Technology, 19-22 Jan. 2000, P 215 - 220 vol.1
Abstract: The classical approach to modelling is a quasiempirical relationship based on experiments on single artificial voids of well defined geometry. Such methods restrict the validity to the range of inputs considered. Keeping all this in view, this work attempts to apply an artificial neural network (ANN) for the modelling in order to exploit flexibility of ANN modelling with a short time for development and reasonably high accuracy. The results indicate good agreement of the estimates with the published values with a MAE (mean absolute error) of as low as 1%
Description: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
URI: http://hdl.handle.net/2080/114
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