Referenced Items are not available for this document.
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
Published in:
Power Systems, IEEE Transactions on
(Volume:13
,
Issue:
1
)
Date of Publication: Feb 1998
- Page(s):
- 177 - 183
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 5826372
- Digital Object Identifier :
- 10.1109/59.651633
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1998
- Sponsored by :
- IEEE Power & Energy Society
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