Vibro-acoustic techniques to diagnose power transformers

Bartoletti, C.; Desiderio, M.; Carlo, D. Di; Fazio, Giuseppe; Muzi, Francesco; Sacerdoti, G.; Salvatori, F.

doi:10.1109/tpwrd.2003.820177

Cited by 177 publications

(85 citation statements)

References 2 publications

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“…Berler et al proposed a method based on an experimental observation that transformer vibration increases when the clamping pressure on the transformer winding is reduced [2]. Other vibration-based methods mainly utilized relative parameters, extracted from either the frequency or the time domain of a transformer's vibration signals, to relate certain transformer faults [3][4][5]. However, these methods are only effective in detecting faults corresponding to the transformers used in their case studies, and are difficult to apply This work was supported in part by the CRC for Infrastructure Engineering Asset Management (CIEAM).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer

Yuxing

Pan

2017

IEEE Trans. Power Delivery

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Section: Introductionmentioning

confidence: 99%

Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer

Yuxing

Pan

2017

IEEE Trans. Power Delivery

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“…[1][2][3][4][5] These methods focus on measuring the indicators of transformer faults and correlating the trends of changes in these said indicators with respect to the causes of transformer failures.…”

Section: Introductionmentioning

confidence: 99%

Changes to the Vibration Response of a Model Power Transformer with Faults

Yuxing¹

2016

IJAV

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Current vibration-based techniques for transformer condition monitoring mostly rely on the vibration response caused by operating excitations, which consist of electrical excitations from the core and winding. Therefore, it is worthwhile to study the electrically-excited frequency response function (FRF), as it carries information of transformer mechanical and electromagnetic properties. This paper includes a sensitivity analysis of the mechanically and electrically excited FRFs of a model transformer to the reasons behind its failures. A model power transformer is used as an example to demonstrate the variation of its vibration response to a couple of causes of transformer faults, such as looseness of clamping forces in winding and core. Experimental evidence is presented to show the quantitative description of the causes of artificial faults and to extract features of variations of FRFs that might be useful to the vibration-based detection of the causes of transformer faults in general.

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“…Several existed research results have shown that tank vibration signals of power transformer are closely related to the winding condition of power transformer and several researches have been made recently [2]- [7]. Ji S. C [2] proved the feasibility of online monitoring the transformer using signal of voltage, current and wavelet package analysis is applied to obtain the features of tank vibration signal of power transformer.…”

Section: Introductionmentioning

confidence: 99%

A tank vibration model for online monitoring of power transformer

Luo

Wang

Jin

2013

2013 IEEE Power &Amp; Energy Society General Meeting

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In this paper, a nonlinear N-L-N HammersteinWiener model is used to build the vibration model of power transformer for the online monitoring of winding condition. The vibration mechanism for the identification of power transformer is presented first. Then the Hammerstein-Wiener model is introduced and ways to estimate the parameters of the model is illustrated explicitly. Validation over an in-service gird power transformer is done to verify the effectiveness of the model. The estimated results show good fitness with the measured data collected from the vibration monitoring system, which indicates its correctness of the proposed model. Moreover, compare to existing methods, the model presented in this paper gives a more comprehensive estimation including both linear and nonlinear information of the system which is beneficial for the online condition monitoring of power transformers.

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Vibro-acoustic techniques to diagnose power transformers

Cited by 177 publications

References 2 publications

Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer

Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer

Changes to the Vibration Response of a Model Power Transformer with Faults

A tank vibration model for online monitoring of power transformer

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