Transformer Fault Diagnosis Using Frequency Response Analysis - Practical Studies

Firoozi, Hormatollah; Kharezi, M.; Rahimpour, Hossein; Shams, Mehdi

doi:10.1109/appeec.2011.5748385

Cited by 12 publications

(9 citation statements)

References 3 publications

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“…Since transformer windings can be modelled as a network of capacitance, resistance, and self and mutual inductances, the values of these parameters are altered when a fault occurs on the winding and, hence, the frequency response of the winding will change accordingly. The test is conducted by applying a sweep frequency voltage of low amplitude to a transformer terminal and measuring the response voltage across the other terminal of the winding with reference to the tank [5]. While the testing method is relatively simple since the development of specific FRA test equipment, the interpretation of results remains a highly specialized area and requires expert personnel to determine the type and possible location of the fault [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Online Technique to Detect Power Transformer Winding Faults

Abu-Siada

Islam

2012

IEEE Trans. Power Delivery

169

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Frequency-response analysis (FRA) has been growing in popularity in recent times as a tool to detect mechanical deformation within power transformers. To conduct the test, the transformer has to be taken out of service which may cause interruption to the electricity grid. Moreover, because FRA relies on graphical analysis, it calls for an expert to analyze the results. As so far, there is no standard code for FRA interpretation worldwide. In this paper, a novel online technique is introduced to detect the internal faults within a power transformer by constructing the voltage-current ( ) locus diagram to provide a current state of the transformer. The technique does not call for any special equipment as it uses the existing metering devices attached to any power transformer to monitor the input voltage, output voltage, and the input current at the power frequency and, hence, online monitoring can be realized. Various types of faults have been simulated to assess its impact on the proposed locus. A Matlab code based on digital image processing is developed to calculate any deviation of the locus with respect to the reference one and to identify the type of fault. The proposed technique is easy to be implemented and automated so that the requirement for expert personnel can be eliminated.

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Section: Introductionmentioning

confidence: 99%

A Novel Online Technique to Detect Power Transformer Winding Faults

Abu-Siada

Islam

2012

IEEE Trans. Power Delivery

169

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“…Any point on the polar plot is represented by magnitude (r) and angle (θ), corresponding to a particular frequency [13]. The aim of DIP is to improve the interpretation of pictorial information using electronic devices [14,15]. Any digital image is represented as a two-dimensional (2D) matrix, [A]X×Y, which consists of a finite number of pixels with a dimension of X×Y.…”

Section: Proposed Polar Plot and Digital Imagementioning

confidence: 99%

“…Any digital image is represented as a two-dimensional (2D) matrix, [A]X×Y, which consists of a finite number of pixels with a dimension of X×Y. In the polar plot, each point can be written as a(x1,y1), where |a| represents image intensity at point a, and x1,y1 are the spatial location with respect to coordinates X and Y, respectively [14]. The developed DIP is built in accordance to the following steps:…”

Section: Proposed Polar Plot and Digital Imagementioning

confidence: 99%

“… Pre-processing the image by resizing it and adjusting the colour format [15].  Segmentation and edge detection is used to detect a region of interest (ROI) within the processed image [14].  Feature extraction which is the crux of DIP technique.…”

Section: Proposed Polar Plot and Digital Imagementioning

confidence: 99%

“…Transformer insulation dielectric characteristics deteriorate over time due to oil/paper degradation and moisture ingress which may have an impact on the transformer FRA signature as well [13]. FRA testing is conducted by applying a sweep variable frequency AC voltage of low amplitude to one terminal of a transformer winding and measuring the response voltage across the other terminal of the winding with reference to the tank [4,14]. The measured FRA signature could be in the form of impedance, admittance, or transfer function (Vout/Vinput in dB) as a function of wide frequency range.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of power transformer insulating mineral oil degradation on FRA polar plot

Aljohani

Abu-Siada

2015

2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)

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Frequency response analysis (FRA) has been employed as an effective tool for the detection of various mechanical winding and core deformations within electrical power transformer. Traditional FRA signature interpretation relies on the magnitude of the FRA plot although all practical frequency response analyzers are able to provide both magnitude and angle of the FRA signal in wide frequency range. Moreover, no attention has been given to the impact of power transformer insulating oil degradation on the FRA signature. This paper presents is aimed at introducing a new interpretation approach of the FRA signature using polar plot which is obtained by incorporating FRA signature magnitude and phase into one plot. The paper also investigates the impact of insulating mineral oil degradation on the proposed polar plot signature. Digital image processing (DIP) technique is developed to automate the interpretation process. In this regard, the physical geometrical dimension of a single-phase transformer filled with insulating mineral oil is simulated using three-dimensional finite element analysis to emulate real transformer operation. FRA polar plot signatures are measured and analyzed for various health conditions of the mineral oil. Results show that insulating mineral oil degradation has an impact on the transformer FRA polar plot signature. The proposed FRA polar plot technique is easy to implement within any frequency response analyzer.

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Minimum detection of power transformer short circuit fault using frequency response analysis

Aljohani

Abu-Siada

2015

2015 Australasian Universities Power Engineering Conference (AUPEC)

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Transformer Fault Diagnosis Using Frequency Response Analysis - Practical Studies

Cited by 12 publications

References 3 publications

A Novel Online Technique to Detect Power Transformer Winding Faults

A Novel Online Technique to Detect Power Transformer Winding Faults

Impact of power transformer insulating mineral oil degradation on FRA polar plot

Minimum detection of power transformer short circuit fault using frequency response analysis

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