基于Sinc信号的变压器绕组频响曲线检测方法  

Detection method of transformer winding frequency response curve based on Sinc signal

在线阅读下载全文

作  者:王文山[1] 刘云鹏[2] 程槐号 周峰[1] 赵雪骞[1] 胡焕[2] Wang Wenshan;Liu Yunpeng;Cheng Huaihao;Zhou Feng;Zhao Xueqian;Hu Huan(State Grid Beijing Electric Power Company,Beijing 100031,China;Hebei Provincial Key Laboratory of Power Transmision Equipment Security Defense,North China Electric Power University,Baoding 071003,Hebei,China)

机构地区:[1]国网北京市电力公司,北京100031 [2]华北电力大学河北省输变电设备安全防御重点实验室,河北保定071003

出  处:《电测与仪表》2017年第23期111-117,共7页Electrical Measurement & Instrumentation

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,文中提出了一种基于Sinc信号的变压器绕组频率响应曲线检测方法。然后文章从理论上对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。In order to overcome the shortcoming of excessive attenuation of high-frequency components of traditional pulse frequency response method on detecting the deformation of power transformer winding,a novel method of obtaining the frequency response curve of the transformer winding based on the Sine signal is proposed in this paper.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 two signals were carried out 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.

关 键 词:变压器 绕组变形 脉冲响应法 Sinc信号 

分 类 号:TM411[电气工程—电器]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象