Detection of minor winding deformation fault in high frequency range for power transformer

W. H. Tang; A. Shintemirov; Q. H. Wu

doi:10.1109/PES.2010.5589573

Detection of minor winding deformation fault in high frequency range for power transformer

W. H. Tang, A. Shintemirov, Q. H. Wu

Department of Robotics and Mechatronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Citations (Scopus)

Abstract

This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.

Original language	English
Title of host publication	IEEE PES General Meeting, PES 2010
DOIs	https://doi.org/10.1109/PES.2010.5589573
Publication status	Published - Dec 6 2010
Event	IEEE PES General Meeting, PES 2010 - Minneapolis, MN, United States Duration: Jul 25 2010 → Jul 29 2010

Publication series

Name	IEEE PES General Meeting, PES 2010

Other

Other	IEEE PES General Meeting, PES 2010
Country	United States
City	Minneapolis, MN
Period	7/25/10 → 7/29/10

Keywords

Distortion fault
Frequency response analysis
Transformer winding

ASJC Scopus subject areas

Energy Engineering and Power Technology

Access to Document

10.1109/PES.2010.5589573

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title = "Detection of minor winding deformation fault in high frequency range for power transformer",

abstract = "This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.",

keywords = "Distortion fault, Frequency response analysis, Transformer winding",

author = "Tang, {W. H.} and A. Shintemirov and Wu, {Q. H.}",

year = "2010",

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doi = "10.1109/PES.2010.5589573",

language = "English",

isbn = "9781424483570",

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note = "IEEE PES General Meeting, PES 2010 ; Conference date: 25-07-2010 Through 29-07-2010",

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TY - GEN

T1 - Detection of minor winding deformation fault in high frequency range for power transformer

AU - Tang, W. H.

AU - Shintemirov, A.

AU - Wu, Q. H.

PY - 2010/12/6

Y1 - 2010/12/6

N2 - This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.

AB - This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.

KW - Distortion fault

KW - Frequency response analysis

KW - Transformer winding

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M3 - Conference contribution

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T3 - IEEE PES General Meeting, PES 2010

BT - IEEE PES General Meeting, PES 2010

T2 - IEEE PES General Meeting, PES 2010

Y2 - 25 July 2010 through 29 July 2010

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