A practical preprocessing treatment for pipeline leak locating improving
A practical preprocessing treatment for pipeline leak locating improving
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DOI：
10.1109/etfa.2008.4638360
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发表时间：
2008-10
期刊：
影响因子：
--
通讯作者：
M. Daneti
中科院分区：
文献类型：
--
作者：
M. Daneti
在工业管道系统中采集到的真实的泄漏信号，由于噪声的干扰，可能表现出两种典型的非平稳特征：一方面是幅值的突变随机变化，另一方面是时变均值。本文提出了一种从接收信号中提取平稳信息的预处理算法，以提高管道泄漏定位的准确性。该方法结合小波分解技术，以消除随机变化的平均值，与分割算法，基于计算的平稳性指数（SI），以避免振幅突发。比较结果表明，此外，通过使用预白化滤波器和关闭pipelinepsilas端，可以获得更好的估计。
Real leak signals, acquired in industrial pipeline systems may manifest two typical non stationary signatures, due to the disturbing noise: abrupt amplitude random changes on one side and a time varying mean on the other side. This paper proposes a pre-processing algorithm for extracting stationary information from the received signals, in order to improve the leak location on the pipe. This method combines the wavelet decomposition technique, in order to remove the random varying mean, with a segmentation algorithm, based on computing the stationarity index (SI), for avoiding the amplitude bursts. Comparative results show that, in addition, by using a pre-whitening filter and closing the pipelinepsilas end, improved estimates can be obtained.