管道盗警信号特征提取的小波分析  

Analysis on Features of Stealing Oil Signal of Pipeline with Wavelet Transform

作　　者：李迎春[1] 薛琴[1] 付兴建[2] 

机构地区：[1]北华航天工业学院电子工程系,廊坊065000 [2]北京信息科技大学自动化学院,北京100192

出　　处：《武汉理工大学学报》2010年第6期76-79,94,共5页Journal of Wuhan University of Technology

基　　金：国家自然科学基金(10772020);北华航天工业学院校基金(KY200702B)

摘　　要：简要地介绍了输油管道盗警应力波测试系统和现场数据采集步骤。对采集的盗警信号进行了小波分解,并统计了不同频带上盗警信号的相对能量分布,提取了盗警信号在各频带能量分布特征。实验分析表明：160-320 Hz频带是关键频带,对该频带的信号进行细分,可识别盗警信号。研究结果为识别盗警信号提供了新的途径。The test system of stress wave signal about stealing oil was briefly introduced, and the on-the-spot data acquisition steps were given.With wavelet transform,features of energy distribution for stealing oil signal on different bands were obtained.Analysis of experimental results show that identification of stealing oil signal can be done through the difference of energy distribution characteristics at 180～320 Hz band.The research provides a new approach for identification of stealing oil signal.

关 键 词：盗警信号 测试系统 时域 频域 小波变换 能量分布 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]