基于小波分析消噪技术的燃气管道泄漏检测与定位Leak Detection and Location of Gas Pipeline Based on Wavelet Denoising Technology
李帆;张丽娟;
LI Fan,ZHANG Li-juan(Huazhong University of Science & Technology,Wuhan 430074,China)
摘要(Abstract)：
研究了基于小波分析的负压波管道泄漏检测与定位技术,并主要对小波分析消噪处理方法进行了分析。先选取合适的小波基和尺度对泄漏信号进行小波分解,再对各尺度下小波分解的高频系数进行阈值量化,并重构小波信号可得消噪后的泄漏信号。运用这种方法,可以更为精确地获得压力突降点,提高泄漏点定位的精度。通过对燃气管道泄漏检测与定位的实例分析,验证了此方法的精确性和有效性。
Leak detection and location of gas pipeline based on wavelet denoising technology is studied.The method of wavelet denoising for leak signal is the emphasis.Firstly,wavelet decomposition of the leakage signal.For it,we must select the best mother wavelet and scale.Secondly,threshold quantization of decomposing coefficients.Thirdly,inverse wavelet transformation of reconstructing modified signals.Then,the de-noised leakage signal is gained.With this method,we can get the feature inflection point of pressure more accurately.And then,the accuracy of leak point location is improved.At the same time,we applied this method to the leak location of gas pipeline.The example is presented to illustrate the accuracy and validity of the method.
关键词(KeyWords)：
负压波;小波分析;泄漏定位;燃气管道
negative-pressure-wave;wavelet analysis;leak location;gas pipeline
基金项目(Foundation):
作者(Authors):
李帆;张丽娟;
LI Fan,ZHANG Li-juan(Huazhong University of Science & Technology,Wuhan 430074,China)
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