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基于LabVIEW和小波分析的电力电缆故障定位方法
引用本文:龚仁喜,宁存岱,谢井华,秦国栋. 基于LabVIEW和小波分析的电力电缆故障定位方法[J]. 重庆理工大学学报(自然科学版), 2010, 0(1): 65-70
作者姓名:龚仁喜  宁存岱  谢井华  秦国栋
作者单位:广西大学电气工程学院;
基金项目:国家自然科学基金资助项目(60962008);;广西青年基金资助项目(桂科青0728008)
摘    要:在分析行波法故障测距误差的基础上,根据小波变换模极大值在不同尺度下的特性,运用自相关分析提供的约束条件,基于LabVIEW平台,实现了对故障信号的准确识别和定位,准确测算出故障点的位置。大量的仿真测试表明,该方法故障测距精度较高,定位较为准确,同时具有界面友好、维护和升级方便、成本低廉、整个系统的功能可根据用户的具体要求实时调节等优良性能。

关 键 词:小波变换  脉冲法  模极大值  行波检测  虚拟仪器  

Study on Method for Power Cable Fault Location Based on LabVIEW and Wavelet Analysis
GONG Ren-xi,NING Cun-dai,XIE Jing-hua,QIN Guo-dong. Study on Method for Power Cable Fault Location Based on LabVIEW and Wavelet Analysis[J]. Journal of Chongqing University of Technology(Natural Science), 2010, 0(1): 65-70
Authors:GONG Ren-xi  NING Cun-dai  XIE Jing-hua  QIN Guo-dong
Affiliation:College of Electrical Engineering;Guangxi University;Nanning 530004;China
Abstract:On the basis of the analysis of the error for cable location in traditional traveling wave impulse location method,the implementation of the exact recognition of the fault signal and location is made on the LabVIEW platform based on the different characteristics of wavelet transform modulus maximum in the different scales and restriction conditions obtained by autocorrelation analysis.A large number of simulation tests show that the method has the excellent characteristics of the high fault location precisi...
Keywords:wavelet transform  pulse method  modulus maxima  traveling wave detection  virtual instrument  
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