Frequency response interpretation using statistical indices

A case study on 400 MVA transformer

Temirlan Orynbassar, Mehdi Bagheri, B. T. Phung

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

Abstract

In the recent past, Frequency Response Analysis (FRA) has been used as a kind of effective method to determine mechanical defects inside the transformer. FRA provides an opportunity to detect mechanical defects without disassembling the transformer active part, whereas visual inspection to identify internal defects is difficult and time consuming. In this study, main statistical indices for FRA result interpretation are introduced and discussed. A failed 400 MVA step-up three-phase transformer is taken as a test object and FRA responses on failed winding are examined through different statistical indices. The outcome and advice of each indicator is also discussed in detail. Finally, the most reliable statistical indices for FRA interpretation are.

Original languageEnglish
Title of host publication2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages132-137
Number of pages6
Volume2018-January
ISBN (Electronic)9781538631386
DOIs
Publication statusPublished - Feb 2 2018
Externally publishedYes
Event3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Rupnagar, Punjab, India
Duration: Nov 16 2017Nov 18 2017

Conference

Conference3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017
CountryIndia
CityRupnagar, Punjab
Period11/16/1711/18/17

Fingerprint

Frequency response
Defects
Inspection

Keywords

  • correlation coefficien
  • frequency response analysis
  • statistical indices
  • transformer diagnosis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Orynbassar, T., Bagheri, M., & Phung, B. T. (2018). Frequency response interpretation using statistical indices: A case study on 400 MVA transformer. In 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings (Vol. 2018-January, pp. 132-137). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CATCON.2017.8280199

Frequency response interpretation using statistical indices : A case study on 400 MVA transformer. / Orynbassar, Temirlan; Bagheri, Mehdi; Phung, B. T.

2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 132-137.

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

Orynbassar, T, Bagheri, M & Phung, BT 2018, Frequency response interpretation using statistical indices: A case study on 400 MVA transformer. in 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 132-137, 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017, Rupnagar, Punjab, India, 11/16/17. https://doi.org/10.1109/CATCON.2017.8280199
Orynbassar T, Bagheri M, Phung BT. Frequency response interpretation using statistical indices: A case study on 400 MVA transformer. In 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 132-137 https://doi.org/10.1109/CATCON.2017.8280199
Orynbassar, Temirlan ; Bagheri, Mehdi ; Phung, B. T. / Frequency response interpretation using statistical indices : A case study on 400 MVA transformer. 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 132-137
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