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

作　　者：赵建军[1] 葛海建[1] 贾辉[1] 

机构地区：[1]河南大学先进控制与智能信息处理研究所,河南开封475004

出　　处：《河南大学学报（自然科学版）》2012年第5期641-645,共5页Journal of Henan University:Natural Science

基　　金：国家自然科学基金资助项目(61174112)

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.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.

关 键 词：高压电力计量系统 截频 dmey小波 重构 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]