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

Mehdi Bagheri; B. T. Phung; Trevor Blackburn

doi:10.1109/EIC.2014.6869404

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 proceeding › Conference contribution

6 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 language	English
Title of host publication	EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference
Publisher	IEEE Computer Society
Pages	333-337
Number of pages	5
ISBN (Print)	9781479927876
DOIs	https://doi.org/10.1109/EIC.2014.6869404
Publication status	Published - Jan 1 2014
Externally published	Yes
Event	32nd Electrical Insulation Conference, EIC 2014 - Philadelphia, PA, United States Duration: Jun 8 2014 → Jun 11 2014

Publication series

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

Other

Other	32nd Electrical Insulation Conference, EIC 2014
Country/Territory	United States
City	Philadelphia, PA
Period	6/8/14 → 6/11/14

Keywords

Frequency response analysis
Moisture variation
Transformer diagnosis
Transformer winding deformation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials

Access to Document

10.1109/EIC.2014.6869404

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). Article 6869404 (EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference). 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 (EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, EIC 2014 - Proceedings of the 32nd Electrical Insulation Conference, 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

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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",

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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.

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

Abstract

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Keywords

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