Abstract: Pipeline leak cases not only influence the normal operation, result in natural resource waste, but also bring serious damage to natural environment. So wavelet transform was adopted to detect and locate pipeline leakage. The two falling point position difference between the two negative pressure wave was got by the position difference of two module maximum on biggest scale. This algorithm not only can locate leakage, but also delete the influence of noise, and attest the availability of the algorithm by simulation. 

Key words: Pipeline leak , Location , Wavelet transform , Biggest scale , Module maximum

摘要： 管道泄漏事故不仅影响生产运行,造成资源浪费,而且还会污染环境,因此采用小波变换法进行管道
泄漏检测与定位。提出了泄漏负压波信号传到管道上、下游压力传感器的时间差,通过两信号小波分解最大尺度上
的模极大值位置差来计算的方法,这样可以在泄漏定位的同时去除噪声的影响,仿真结果表明,该算法是有效的。

关键词: 管道泄漏 , 定位 , 小波变换 , 最大尺度 , 模极大值