Localization of Radial Deformation and Its Extent in Power Transformer HV Winding Using Stationary UWB Antennas

Rahbarimagham, Hesam; Esmaeili, Saeid; Gharehpetian, Gevork B.

doi:10.1109/jsen.2017.2687942

Cited by 10 publications

(4 citation statements)

References 27 publications

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“…Some events such as short circuits and unsuitable transportation can cause winding RD. There are several methods for detection of this defect such as transfer function [7], ultra-wideband (UWB) sensor-based [8,9] and hyperboloid methods [10,11], some of which are still under study and development. One of the drawbacks of previous works is that most of them cannot localise defects online such as the frequency response analysis method which the effects of grid and load have not been solved for online application.…”

Section: Rd Detection Of Transformer Windingmentioning

confidence: 99%

Simultaneous radial deformation and partial discharge detection of high‐voltage winding of power transformer

Karami

Gharehpetian

Norouzi

et al. 2020

IET Electric Power Applications

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Condition monitoring of power transformers has attracted a lot of attention due to their important roles in determining power system reliability. Radial deformation of power transformer winding should be monitored online to prevent more damages to winding and possible transformer outage. The ultra-high-frequency (UHF) stepped-frequency synthetic-aperture radar imaging method has recently been proposed as an online method for high-voltage winding radial deformation detection. On the other hand, partial discharge (PD) as another defect of the transformer winding propagates UHF signals in the transformer environment, which should be detected online. In this study, the practical application of a designed monitoring system is investigated for simultaneous online detection of both PD and radial deformation defects in a real three-phase power transformer. In addition, radial deformation is localised through a monitoring system designed based on the proposed method. Using this system, only one set of antennas is needed to detect both defects which lead to reducing the number of installed antennas and economic application of the monitoring system.

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Section: Rd Detection Of Transformer Windingmentioning

confidence: 99%

Simultaneous radial deformation and partial discharge detection of high‐voltage winding of power transformer

Karami

Gharehpetian

Norouzi

et al. 2020

IET Electric Power Applications

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show abstract

“…Among mechanical fault diagnosis methods, those that are capable of providing online information about the winding status without taking the transformer out of service, are of great importance. In recent years, a novel method capable of online monitoring has been proposed by employing electromagnetic waves [19][20][21]. In this method, electromagnetic waves are emitted to the transformer winding using an antenna, and the reflections are then recorded by the receiving antennas.…”

Section: Introductionmentioning

confidence: 99%

Determination of transformer HV winding axial displacement extent using hyperbolic method – a feasibility study

Rahbarimagham

Karami

Esmaeili

et al. 2019

IET Electric Power Applications

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In recent years, ultra-wideband (UWB) systems have been proposed for online monitoring of power transformers. This study aims at a new UWB-based method to determine the axial displacement (AD) extent in the transformer high-voltage (HV) winding. In the proposed design, two receiving antennas and one transmitting antenna are used. Two receiving antennas receive signals at two different positions due to axial displacement occurrence, and the displacement extent is determined using an analytical method known as hyperbolic method, which is based on signals time difference of arrival. The proposed method is initially studied by simulations using computer simulation technology software. Finally, the experimental results show the effectiveness of the proposed method to detect the AD extent in an actual transformer winding.

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“…It seems that this method is not sensitive to mechanical faults of the winding [19]. Another method which has been developed recently is radar imaging using wideband antennas [20,21]. In this method, a wideband antenna moves along an axis on one side of the winding and data of the winding are collected from different points; using the antenna, an image of the winding is constructed, and fault can be detected.…”

Section: Introductionmentioning

confidence: 99%

“…The frequency response is considered as a fingerprint of the transformer which can be compared with previous marks in order to detect any kind of fingerprint change; therefore electrical and mechanical faults are detected. The FRA methods can detect short circuit turn [19,22], transformer core defects [23,24], winding deformation and displacement [14,20,21,25], loosen or broken clamp connections [26] etc., effectively.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis and clustering of power transformer winding fault types by cross‐correlation and clustering analysis of FRA results

Abbasi

Mahmoudi

Avazzadeh

2018

IET Generation, Transmission & Distribution

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Localization of Radial Deformation and Its Extent in Power Transformer HV Winding Using Stationary UWB Antennas

Cited by 10 publications

References 27 publications

Simultaneous radial deformation and partial discharge detection of high‐voltage winding of power transformer

Simultaneous radial deformation and partial discharge detection of high‐voltage winding of power transformer

Determination of transformer HV winding axial displacement extent using hyperbolic method – a feasibility study

Diagnosis and clustering of power transformer winding fault types by cross‐correlation and clustering analysis of FRA results

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