Referenced Items are not available for this document.
The application of a radial basis function (RBF) neural network (NN) for fault diagnosis in a HVDC 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
Published in:
Power Electronics, Drives and Energy Systems for Industrial Growth, 1996., Proceedings of the 1996 International Conference on
(Volume:1
)
Date of Conference: 8-11 Jan 1996
- Page(s):
- 140 - 146 vol.1
- Meeting Date :
- 08 Jan 1996-11 Jan 1996
- Print ISBN:
- 0-7803-2795-0
- INSPEC Accession Number:
- 5391086
- Conference Location :
- New Delhi
- Digital Object Identifier :
- 10.1109/PEDES.1996.537295
- Product Type:
- Conference Publications
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