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.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
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)
关键词
盗警信号
测试系统
时域
频域
小波变换
能量分布
stealing oil signal
test system
time-domain
frequency domain
wavelet transform
energy distribution
