Vibro-acoustic method of transformer clamping pressure monitoring

Berler, Z.; Golubev, A. Yu.; Rusov, V.; Tsvetkov, V. A.; Patterson, C.

doi:10.1109/elinsl.2000.845503

Cited by 58 publications

(48 citation statements)

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“…Much of this previous work has examined "response-based" monitoring methods, making use of the transformer vibration signal only to evaluate the health status of the transformer. 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].…”

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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“…Bartoletti et al [9] deduced health parameters from the vibrations in frequency domain that can distinguish healthy and anomalous transformers. A similar study can be found in [10]. Hu et al [11] presented a statistical health grade system that uses health metrics derived from the vibration signals directly.…”

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confidence: 68%

Winding Condition Assessment of Power Transformers Based on Vibration Correlation

Hong

Huang

Zhou

2015

IEEE Trans. Power Delivery

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In this paper, a winding condition assessment model using vibration signals is presented, which can be used to diagnose power transformers online. The basic principle of this model is based on the correlation analysis of winding vibrations. In the model, the fundamental frequency vibration analysis is used to separate the winding vibration from the mixed signal. Then, a health parameter is proposed via principal component analysis. Another parameter is also proposed to detect the fault locations for suspected faulty transformers. In laboratory tests, the model is validated on a specifically designed 110 kV transformer. During the tests, man-made winding deformations are simulated to compare the vibrations under different conditions. The model has also been tested on several in-service power transformers. The preliminary study shows that the proposed model is feasible to assess the power transformer winding condition.

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“…Many studies have been done on the monitoring of various parameters of transformers. [1][2][3][4][5] Equivalent circuit parameters of transformers are the most important of them. Conventionally, equivalent circuit parameters of a transformer can be calculated from the results of two transformer tests: open circuit and short circuit tests.…”

Section: Introductionmentioning

confidence: 99%

An online parameter monitoring method for power transformers based on DEA

Dırık

Ozdemir

2012

2012 16th IEEE Mediterranean Electrotechnical Conference

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Transformers are the most prominent elements of power systems. In some cases, it may be desired to monitor their equivalent circuit parameters in order to establish the electrical models of them or to determine some of the potential failures in advance. In this work, a novel method that provides online monitoring of equivalent circuit parameters of transformer is presented. This method is based on differential equation algorithm (DEA) that uses a small number of voltage and current samples. The effectiveness of proposed method is shown by computer simulations.

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Vibro-acoustic method of transformer clamping pressure monitoring

Cited by 58 publications

References 0 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

Winding Condition Assessment of Power Transformers Based on Vibration Correlation

An online parameter monitoring method for power transformers based on DEA

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