Frequency response interpretation using statistical indices: A case study on 400 MVA transformer

Temirlan Orynbassar; Mehdi Bagheri; B. T. Phung

doi:10.1109/CATCON.2017.8280199

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 proceeding › Conference 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 language	English
Title of host publication	2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	132-137
Number of pages	6
Volume	2018-January
ISBN (Electronic)	9781538631386
DOIs	https://doi.org/10.1109/CATCON.2017.8280199
Publication status	Published - Feb 2 2018
Externally published	Yes
Event	3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Rupnagar, Punjab, India Duration: Nov 16 2017 → Nov 18 2017

Conference

Conference	3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017
Country/Territory	India
City	Rupnagar, Punjab
Period	11/16/17 → 11/18/17

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

Access to Document

10.1109/CATCON.2017.8280199

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 proceeding › Conference 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 doi: 10.1109/CATCON.2017.8280199

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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.",

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Frequency response interpretation using statistical indices: A case study on 400 MVA transformer

Abstract

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Keywords

ASJC Scopus subject areas

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