| 基于小波变换和自相关分析的电缆故障测距研究 |
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| 引用本文： | 徐建军,宁会朋. 基于小波变换和自相关分析的电缆故障测距研究[J]. 科学技术与工程, 2010, 10(31) |
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| 作者姓名： | 徐建军 宁会朋 |
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| 作者单位： | 东北石油大学电气信息工程学院,大庆,163318 |
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| 摘 要： | 随着电力电缆应用的增多,对电缆故障测距的精确度要求也不断提高。本文提出了一种基于小波分解的信号相关技术,在此基础上引入小波变换和自相关分析方法。先对采集到的信号进行多层小波分解，运用小波变换进行信号滤波和奇异性检测, 然后运用搜索模极大值的方法找到高频分量中的奇异点,从而实现故障的自动精确测距。经仿真测得故障距离为1498.23m（预设距离1500m），误差是1.77m，小于一个采样点的距离，满足要求。
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| 关 键 词： | 故障测距；电力电缆；冲闪法；小波变换；自相关分析 |
| 收稿时间： | 2010-08-02 |
| 修稿时间： | 2010-08-02 |
Cable Faults Location Based on Wavelet Transform and Autocorrelation Analysis |
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| xujianjun and ninghuipeng. Cable Faults Location Based on Wavelet Transform and Autocorrelation Analysis[J]. Science Technology and Engineering, 2010, 10(31) |
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| Authors: | xujianjun and ninghuipeng |
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| Affiliation: | XU Jian-jun,NING Hui-peng*,LIU Zhong-yang,WANG Yang(Electrical and Information Engineering Institute,Northeast Petroleum University,Daqing 163318,P.R.China) |
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| Abstract: | With the increasing application of the power cables,it is necessary to constantly improve the accuracy ranging of cable fault location.The relevant technology of the wavelet decomposition is presented,wavelet transformation and autocorrelation analytical method are introduced.First,the multi-layer wavelet decomposition was applied to the acquired signal,the wavelet transformation was applied to filtering signal and detect singularity.Then the singular point in the high frequency component was found out by s... |
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| Keywords: | fault location power cable impulse method wavelet transform autocorrelation analysis |
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