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基于小波变换的电力计量系统故障信息提取研究

The Fault Information Extraction Research in the Electric Power Measurement System Based on the Wavelet Transform

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【作者】 赵建军葛海建贾辉

【Author】 ZHAO Jian-jun,GE Hai-jian,JIA Hui (Institute of Advanced Control and Intelligent Information Processing, Henan University,Henan Kaifeng 475004,China)

【机构】 河南大学先进控制与智能信息处理研究所

【摘要】 根据高压电力计量系统故障信息情况,提出了一种基于小波变换技术对故障信号进行分析的方法.通过外加激励信号对高压电力计量系统故障进行检测,利用截频性能出色的dmey小波对故障信号进行4级小波分解,根据小波分解后的信号频带对应关系,保留检测信号所在频带的波形数据进行重构并分析研究.试验结果表明该方法能够有效地消除杂波干扰,准确地提取出相关故障的信息.

【Abstract】 According to the fault diagnosis’s need of short circuit of the primary side of high voltage electric power metering system’s CT,we put forward a fault signal analysis method that based on the wavelet transform technology.First of all,we use the method of additional excitation signal to detect faults.Second,using dmey wavelet whose cut frequency performance is good to decompose the fault signal at 4-level wavelet decomposition,according to signal’s frequency band corresponding relation of the wavelet decomposition,keeping the testing signals’ data of the frequency band of wave for reconstruction and analysis research.The test results show that this method can effectively eliminate clutter interference and accurately judge the failures.

【基金】 国家自然科学基金资助项目(61174112)
  • 【文献出处】 河南大学学报(自然科学版) ,Journal of Henan University(Natural Science) , 编辑部邮箱 ,2012年05期
  • 【分类号】TM744
  • 【被引频次】5
  • 【下载频次】61
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