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Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression
- Source :
- Mathematical Problems in Engineering, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- This paper presents a new method for calculating the insulation health index (HI) of oil-paper transformers rated under 110 kV to provide a snapshot of health condition using binary logistic regression. Oil breakdown voltage (BDV), total acidity of oil, 2-Furfuraldehyde content, and dissolved gas analysis (DGA) are singled out in this method as the input data for determining HI. A sample of transformers is used to test the proposed method. The results are compared with the results calculated for the same set of transformers using fuzzy logic. The comparison results show that the proposed method is reliable and effective in evaluating transformer health condition.
- Subjects :
- Engineering
Article Subject
business.industry
lcsh:Mathematics
020209 energy
General Mathematics
Dissolved gas analysis
Health condition
General Engineering
Comparison results
02 engineering and technology
lcsh:QA1-939
Logistic regression
Fuzzy logic
law.invention
Reliability engineering
Health index
lcsh:TA1-2040
law
0202 electrical engineering, electronic engineering, information engineering
lcsh:Engineering (General). Civil engineering (General)
Transformer
business
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....bdc440ceb3b97a0c05ad141966efc0cd