应用复小波变换检测突发短路时的电力变压器绕组状态

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Abstract The vibration signals of power transformer tank under sudden short-circuit impact are closely related to the winding operation condition. In order to improve the accuracy of vibration analysis method, a complex wavelet transformer algorithm was proposed and applied to extract the time-frequency feature of the non-stationary and strong time-varying measured vibration signals while power transformer under sudden short-circuit impact. The results show that the complex wavelet transformer algorithm is capable of analyzing the transformer vibration signal effectively and accurately. The substantial increase of 100Hz frequency component and the energy imply the loosening of the winding. The beginning of winding deformation can be indicated clearly by the occurrences of the high frequency components. In addition, the vibration analysis method is more sensitive to the transformer winding deformations than that of short-circuit reactance method.

Key words： Power transformer complex wavelet transformer sudden short-circuit winding deformation vibration analysis method

Received: 20 September 2012 Published: 05 November 2014

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TM41

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	Articles by authors
	Zhang Kun
	Wang Fenghua
	Liao Tianming
	Jin Zhijian

Cite this article:

Zhang Kun,Wang Fenghua,Liao Tianming等. Detection of Transformer Winding Deformation under Sudden Short-Circuit Impact Based on Complex Wavelet Algorithm[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 327-332.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I8/327

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