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An attempt was made to use hidden Markov models (HMM) to classify partial discharge (PD) image patterns. After an introduction to HMM, the methodology and algorithms for evolving them are explained. The selection of the model and training parameters and the results obtained are discussed. The utility of the approach is evaluated by applying it to five types of actual PD image patterns. The performance of the HMM approach is shown to exceed that of neural networks
Published in:
Electrical Insulation, IEEE Transactions on
(Volume:28
,
Issue:
2
)
Date of Publication: Apr 1993
- Page(s):
- 172 - 182
- ISSN :
- 0018-9367
- INSPEC Accession Number:
- 4447828
- Digital Object Identifier :
- 10.1109/14.212242
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Apr 1993
- Sponsored by :
- IEEE Dielectrics and Electrical Insulation Society
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