Influence of moisture content variation on Frequency Response Analysis of transformer winding

Mehdi Bagheri, B. T. Phung, Trevor Blackburn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Frequency Response Analysis (FRA) has been used as a diagnostic method for transformers since the last decade and is emerging as a popular technique. Recent studies on this technique reveal that FRA data are not only influenced by transformer winding deformation but could be also affected by transformer insulation parameters. Hence, this study has concentrated on the influence of moisture content variation on the winding frequency response spectrum. To this end, transformer water dynamic is briefly discussed. A model transformer is used as the test object. Frequency response spectra of 'wet' and 'dry' conditions of the test object are examined for different moisture contents and different temperatures. The results of both examinations are then compared, and finally the common trend in FRA spectrum deviation under such circumstances is explored.

Original languageEnglish
Title of host publicationEIC 2014 - Proceedings of the 32nd Electrical Insulation Conference
PublisherIEEE Computer Society
Pages333-337
Number of pages5
ISBN (Print)9781479927876
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event32nd Electrical Insulation Conference, EIC 2014 - Philadelphia, PA, United States
Duration: Jun 8 2014Jun 11 2014

Other

Other32nd Electrical Insulation Conference, EIC 2014
CountryUnited States
CityPhiladelphia, PA
Period6/8/146/11/14

Fingerprint

Transformer windings
Frequency response
Moisture
Spectrum analysis
Insulation
Water

Keywords

  • Frequency response analysis
  • Moisture variation
  • Transformer diagnosis
  • Transformer winding deformation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials

Cite this

Bagheri, M., Phung, B. T., & Blackburn, T. (2014). Influence of moisture content variation on Frequency Response Analysis of transformer winding. In EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference (pp. 333-337). [6869404] IEEE Computer Society. https://doi.org/10.1109/EIC.2014.6869404

Influence of moisture content variation on Frequency Response Analysis of transformer winding. / Bagheri, Mehdi; Phung, B. T.; Blackburn, Trevor.

EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference. IEEE Computer Society, 2014. p. 333-337 6869404.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bagheri, M, Phung, BT & Blackburn, T 2014, Influence of moisture content variation on Frequency Response Analysis of transformer winding. in EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference., 6869404, IEEE Computer Society, pp. 333-337, 32nd Electrical Insulation Conference, EIC 2014, Philadelphia, PA, United States, 6/8/14. https://doi.org/10.1109/EIC.2014.6869404
Bagheri M, Phung BT, Blackburn T. Influence of moisture content variation on Frequency Response Analysis of transformer winding. In EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference. IEEE Computer Society. 2014. p. 333-337. 6869404 https://doi.org/10.1109/EIC.2014.6869404
Bagheri, Mehdi ; Phung, B. T. ; Blackburn, Trevor. / Influence of moisture content variation on Frequency Response Analysis of transformer winding. EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference. IEEE Computer Society, 2014. pp. 333-337
@inproceedings{c471f8ac5f5a4b359e25693472305221,
title = "Influence of moisture content variation on Frequency Response Analysis of transformer winding",
abstract = "Frequency Response Analysis (FRA) has been used as a diagnostic method for transformers since the last decade and is emerging as a popular technique. Recent studies on this technique reveal that FRA data are not only influenced by transformer winding deformation but could be also affected by transformer insulation parameters. Hence, this study has concentrated on the influence of moisture content variation on the winding frequency response spectrum. To this end, transformer water dynamic is briefly discussed. A model transformer is used as the test object. Frequency response spectra of 'wet' and 'dry' conditions of the test object are examined for different moisture contents and different temperatures. The results of both examinations are then compared, and finally the common trend in FRA spectrum deviation under such circumstances is explored.",
keywords = "Frequency response analysis, Moisture variation, Transformer diagnosis, Transformer winding deformation",
author = "Mehdi Bagheri and Phung, {B. T.} and Trevor Blackburn",
year = "2014",
doi = "10.1109/EIC.2014.6869404",
language = "English",
isbn = "9781479927876",
pages = "333--337",
booktitle = "EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference",
publisher = "IEEE Computer Society",
address = "United States",

}

TY - GEN

T1 - Influence of moisture content variation on Frequency Response Analysis of transformer winding

AU - Bagheri, Mehdi

AU - Phung, B. T.

AU - Blackburn, Trevor

PY - 2014

Y1 - 2014

N2 - Frequency Response Analysis (FRA) has been used as a diagnostic method for transformers since the last decade and is emerging as a popular technique. Recent studies on this technique reveal that FRA data are not only influenced by transformer winding deformation but could be also affected by transformer insulation parameters. Hence, this study has concentrated on the influence of moisture content variation on the winding frequency response spectrum. To this end, transformer water dynamic is briefly discussed. A model transformer is used as the test object. Frequency response spectra of 'wet' and 'dry' conditions of the test object are examined for different moisture contents and different temperatures. The results of both examinations are then compared, and finally the common trend in FRA spectrum deviation under such circumstances is explored.

AB - Frequency Response Analysis (FRA) has been used as a diagnostic method for transformers since the last decade and is emerging as a popular technique. Recent studies on this technique reveal that FRA data are not only influenced by transformer winding deformation but could be also affected by transformer insulation parameters. Hence, this study has concentrated on the influence of moisture content variation on the winding frequency response spectrum. To this end, transformer water dynamic is briefly discussed. A model transformer is used as the test object. Frequency response spectra of 'wet' and 'dry' conditions of the test object are examined for different moisture contents and different temperatures. The results of both examinations are then compared, and finally the common trend in FRA spectrum deviation under such circumstances is explored.

KW - Frequency response analysis

KW - Moisture variation

KW - Transformer diagnosis

KW - Transformer winding deformation

UR - http://www.scopus.com/inward/record.url?scp=84906489253&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906489253&partnerID=8YFLogxK

U2 - 10.1109/EIC.2014.6869404

DO - 10.1109/EIC.2014.6869404

M3 - Conference contribution

SN - 9781479927876

SP - 333

EP - 337

BT - EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference

PB - IEEE Computer Society

ER -