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.
张坤, 王丰华, 廖天明, 金之俭. 应用复小波变换检测突发短路时的电力变压器绕组状态[J]. 电工技术学报, 2014, 29(8): 327-332.
Zhang Kun, Wang Fenghua, Liao Tianming, Jin Zhijian. Detection of Transformer Winding Deformation under Sudden Short-Circuit Impact Based on Complex Wavelet Algorithm. Transactions of China Electrotechnical Society, 2014, 29(8): 327-332.
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