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Neural network approach to separate aging and moisture from the dielectric response of oil impregnated paper insulation.
- Source :
-
IEEE Transactions on Dielectrics & Electrical Insulation . Aug2015, Vol. 22 Issue 4, p2176-2184. 9p. - Publication Year :
- 2015
-
Abstract
- This paper presents a study of the impact of two important parameters, moisture and aging of the oil/paper dielectric used as insulation in power transformers.The way in which these two parameters influence different parameters of the Frequency Domain Spectroscopy (FDS) measurements, is emphasized.Different FDS parameters were measured by varying the moisturecontent and the aging degree of the oil impregnated paper.The use of two types of neural networks for analysis of the results was necessary in order to help discriminating the impact of moisture and aging on the FDS measurements and, in some cases, to estimate the aging duration of the paper impregnated with oil. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10709878
- Volume :
- 22
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Dielectrics & Electrical Insulation
- Publication Type :
- Academic Journal
- Accession number :
- 108932854
- Full Text :
- https://doi.org/10.1109/TDEI.2015.004731