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文章摘要
基于Sinc信号的变压器绕组频率响应曲线检测方法
Detection Method of Transformer Winding Frequency Response Curve Based on Sinc Signal
Received:January 10, 2017  Revised:January 10, 2017
DOI:
中文关键词: 变压器  绕组变形  脉冲响应法  sinc信号
英文关键词: transformer  winding deformation  low voltage pulse method  sinc signal
基金项目:
Author NameAffiliationE-mail
WANG Wenshan Beijing Electric Power Company of State Grid 865693953@qq.com 
LIU Yunpeng Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University 865693953@qq.com 
CHENG Huaihao* Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University 865693953@qq.com 
ZHOU Feng Beijing Electric Power Company of State Grid 865693953@qq.com 
ZHAO Xueqian Beijing Electric Power Company of State Grid 865693953@qq.com 
HU Huan Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University 865693953@qq.com 
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中文摘要:
      为了克服传统脉冲频率响应法在检测电力变压器绕组变形缺陷时,高频分量衰减过快的缺点,提出了一种基于sinc信号的变压器绕组频率响应曲线检测方法。然后从理论上对sinc信号及脉冲信号的频率特性进行了比较,说明了sinc信号的优越性。最后,分别利用sinc信号及脉冲信号对实验室中定制的变压器绕组进行了检测试验,并采用相关系数指标比较了两种信号的检测效果。试验结果表明利用sinc信号作为激励源可以得到稳定、宽频域的频率响应曲线,而且该方法的检测结果比传统脉冲频率响应法的检测结果更为准确。
英文摘要:
      In order to overcome the shortcoming of excessive attenuation of high-frequency components of traditional pulse frequency response method in detecting the deformation of power transformer winding, a new method of obtaining the frequency response curve of the transformer winding based on the sinc signal is proposed. The frequency characteristics of the sinc signal and the pulse signal were compared theoretically, and the advantage of the sinc signal was explained. Finally, the tests of the customized transformer winding in the laboratory were carried out by using the sinc signal and the pulse signal respectively, and the detection results of the two signals were compared by the correlation coefficient. The experimental results show that the frequency response curve of stable and wide frequency domain can be obtained by using sinc signal as the excitation source, and the detection result of this method is more accurate than that of traditional pulse frequency response method.
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