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The Detecting Leaking Point of Pipeline with Wavelet Wave Analysis-Negative Pressure Wave Detecting Method

机译:小波分析-负压波检测方法在管道泄漏点检测中的应用

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Leak hunting and accurate detecting of long distance pipe which conveying fluid/gas are urgently needed to be resolved in engineering. The singular point or irregular catastrophe part of measurement signal wave is also considered one of important characteristic of signal and often carries important information which can be applied to pattern recognition. Such as singular flux, singular pressure drop and so on, they are all reflected as measurement singular catastrophe point, so it is important to detect catastrophe point in leak hunting. However, wavelet analysis has the characteristic such as spatial locality. It can be used in analyzing singularity of signal, even singularity position and size of singularity degree based on difference of wavelet transform singular point (such as extreme point, zero-crossing point and so on) in various scales. Maximum wavelet transform modulus and its characteristic in multi-scale are effective method to detect signal catastrophe point, different behave on edge and leaking point.
机译:工程中迫切需要解决泄漏问题和对输送流体/气体的长距离管道进行准确检测的问题。测量信号波的奇异点或不规则突变部分也被认为是信号的重要特征之一,并且经常携带可用于模式识别的重要信息。如奇异的通量,奇异的压降等,都反映为测量奇异的突变点,因此在泄漏搜寻中检测突变点很重要。但是,小波分析具有空间局部性等特征。它可以基于各种尺度的小波变换奇异点(例如极点,零交叉点等)的差异来分析信号的奇异性,甚至奇异性位置和奇异度的大小。最大小波变换模量及其在多尺度上的特性是检测信号突变点,边缘和泄漏点表现不同的有效方法。

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