Referenced Items are not available for this document.
This paper presents an artificial neural network (ANN) approach to the diagnosis and detection of faults in oil-filled power transformers based on dissolved gas-in-oil analysis. A two-step ANN method is used to detect faults with or without cellulose involved. Good diagnosis accuracy is obtained with the proposed approach
Published in:
Power Delivery, IEEE Transactions on
(Volume:11
,
Issue:
4
)
Date of Publication: Oct 1996
- Page(s):
- 1836 - 1841
- ISSN :
- 0885-8977
- INSPEC Accession Number:
- 5440640
- Digital Object Identifier :
- 10.1109/61.544265
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1996
- Sponsored by :
- IEEE Power & Energy Society
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