Effects of terminal connections on sweep frequency response analysis of transformers

Murawwi, Esam Al; Mardiana, Redy; Su, Chean-Cheng

doi:10.1109/mei.2012.6192362

Cited by 17 publications

(8 citation statements)

References 10 publications

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“…MM values were not deviating much from unity in case of OCSI TF approach and thus it was not of much use. However, for higher frequency sub-bands (100 kHz-1 MHz) and (1)(2)(3)(4)(5)(6)(7)(8)(9)(10), MM values decreased appreciably from unity in TV TF approach, indicating that its effectiveness as statistical tool in distinguishing faulty case from NC and distinguishing within faulty cases.…”

Section: Statistical Parameter -Mm Ratiomentioning

confidence: 96%

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Sweep frequency response analysis based diagnosis of shorts within transformer windings

Rajamani

Muthaiah

Madanmohan

2017

IET Generation, Transmission & Distribution

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Section: Statistical Parameter -Mm Ratiomentioning

confidence: 96%

“…Any geometrical deformations, or shorts in some portions of windings, alter the RLC network, which in turn changes the transfer function values at different frequencies. These are areas of concern which can be carefully interpreted and utilised for fault diagnosis [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Sweep frequency response analysis based diagnosis of shorts within transformer windings

Rajamani

Muthaiah

Madanmohan

2017

IET Generation, Transmission & Distribution

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“…In this model and according to the results quoted from [11], the transformer bushing impact on the FRA signature can be ignored. Ferromagnetic material is used in the simulated transformer model and because of the Core's residual magnetism can affect the FRA response in lower frequency region up to 2 kHz, the non-linear effect of the magnetic core of the transformer is ignored [33][34][35].…”

Section: Simulation Of the Transformer Modelmentioning

confidence: 99%

Diagnostic technique for analysing the internal faults within power transformers based on sweep frequency response using adjusted R-square methodology

Gouda

El-Hoshy

2020

IET Science, Measurement &Amp; Technology

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The sweep frequency response analysis (SFRA) technique is based on measuring the power transformer electrical transfer functions over a wide frequency range to identify the abnormal areas prior to serious failure. This study presents the proposed diagnostic adjusted R-square technique to identify the transformer faults using the SFRA technique. The SFRA measurements are ranged up to and beyond 1 MHz. The proposed technique is used to calculate the relative factor for adjusted R-square coefficient between the actual data and new measurement data sets. The results of the proposed method are evaluated and compared with existing Chinese Standard factor DL/T 911-2016 and CCF factor of IEEE Std. C57.149™ Standard indicates that the suggested methodology is more reliable to identify and analyse the internal faults of the transformers. This technique is considered to be effective indicator to predict the internal physical condition inside the transformer, which moves the field forward.

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“…It is intended to look at more details on the sensitivity of a particular frequency range to an associated fault within core and winding [5].…”

Section: Sfra Measurementmentioning

confidence: 99%

“…However, given the fact that the frequency response is also very much affected by many factors within the transformer, thus further investigations are still required to look at the possible affecting parameters, such as: core residual magnetism, oil and winding temperature, moisture level, and the winding structure [5][6][7]. This paper presents a field experience in condition monitoring of a power transformer using SFRA technique.…”

Section: Introductionmentioning

confidence: 99%

Frequency response measurement of a power transformer

Ariastina

Kumara

Partha

et al. 2015

2015 International Conference on Quality in Research (QiR)

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This paper presents a field experience in condition monitoring of a power transformer using SFRA technique. A design based comparison approach of the SFRA test results is discussed in the paper. In order to verify the latest condition of the transformer, the SFRA test was complemented with DGA and PD tests. The SFRA test results indicated that there is an abnormality within the transformer windings. The PD test results confirmed this interpretation, where very large ultrasonic impulses were detected. A series of DGA tests have showed that there is an early stage degradation of the insulating paper, which may be associated with fault within the transformer windings. The field experience showed that the monitoring approach has been very useful in indicating the possible occurrence of failure within the transformer structure.

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Effects of terminal connections on sweep frequency response analysis of transformers

Cited by 17 publications

References 10 publications

Sweep frequency response analysis based diagnosis of shorts within transformer windings

Sweep frequency response analysis based diagnosis of shorts within transformer windings

Diagnostic technique for analysing the internal faults within power transformers based on sweep frequency response using adjusted R-square methodology

Frequency response measurement of a power transformer

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