Abstract
The study presents an evidential reasoning (ER) approach to transformer winding assessment based on frequency response analysis (FRA). A conventional FRA assessment process is firstly discussed, where frequency response comparison methods and interpretation features are briefly introduced. Then an FRA assessment process is transferred into a multiple-attribute decision-making (MADM) problem under an ER framework and an introduction to the ER algorithm is given. Subsequently, several examples of transformer winding condition assessment problems are considered using two ER evaluation analysis models, where the potential of the ER approach in combining evidence and dealing with uncertainties is demonstrated. In the case when more than one expert is involved in an FRA assessment process, the developed ER framework can be used to aggregate experts' subjective judgements and produce an overall evaluation of the condition of a transformer winding in a formalised form.
| Original language | English |
|---|---|
| Article number | IEPAAN000004000003000198000001 |
| Pages (from-to) | 198-212 |
| Number of pages | 15 |
| Journal | IET Electric Power Applications |
| Volume | 4 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2010 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Transformer winding condition assessment using frequency response analysis and evidential reasoning. / Shintemirov, A.; Tang, W. H.; Wu, Q. H.
In: IET Electric Power Applications, Vol. 4, No. 3, IEPAAN000004000003000198000001, 03.2010, p. 198-212.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Transformer winding condition assessment using frequency response analysis and evidential reasoning
AU - Shintemirov, A.
AU - Tang, W. H.
AU - Wu, Q. H.
PY - 2010/3
Y1 - 2010/3
N2 - The study presents an evidential reasoning (ER) approach to transformer winding assessment based on frequency response analysis (FRA). A conventional FRA assessment process is firstly discussed, where frequency response comparison methods and interpretation features are briefly introduced. Then an FRA assessment process is transferred into a multiple-attribute decision-making (MADM) problem under an ER framework and an introduction to the ER algorithm is given. Subsequently, several examples of transformer winding condition assessment problems are considered using two ER evaluation analysis models, where the potential of the ER approach in combining evidence and dealing with uncertainties is demonstrated. In the case when more than one expert is involved in an FRA assessment process, the developed ER framework can be used to aggregate experts' subjective judgements and produce an overall evaluation of the condition of a transformer winding in a formalised form.
AB - The study presents an evidential reasoning (ER) approach to transformer winding assessment based on frequency response analysis (FRA). A conventional FRA assessment process is firstly discussed, where frequency response comparison methods and interpretation features are briefly introduced. Then an FRA assessment process is transferred into a multiple-attribute decision-making (MADM) problem under an ER framework and an introduction to the ER algorithm is given. Subsequently, several examples of transformer winding condition assessment problems are considered using two ER evaluation analysis models, where the potential of the ER approach in combining evidence and dealing with uncertainties is demonstrated. In the case when more than one expert is involved in an FRA assessment process, the developed ER framework can be used to aggregate experts' subjective judgements and produce an overall evaluation of the condition of a transformer winding in a formalised form.
UR - http://www.scopus.com/inward/record.url?scp=77953330434&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953330434&partnerID=8YFLogxK
U2 - 10.1049/iet-epa.2009.0102
DO - 10.1049/iet-epa.2009.0102
M3 - Article
VL - 4
SP - 198
EP - 212
JO - IET Electric Power Applications
JF - IET Electric Power Applications
SN - 1751-8660
IS - 3
M1 - IEPAAN000004000003000198000001
ER -