摘要
时差估计精度是影响管道漏点定位准确与否的重要因素。针对复杂噪声环境下管道泄漏点定位不准确问题,提出一种基于经验模态分解重构的互相关时差估计管道漏点定位方法。首先对含噪信号进行经验模态分解,得到一系列按频率从高到低排列的本征模态函数,利用Pearson相关系数法在本征模态函数中判定出噪声分量与信号分量的分界,把信号分量重构,实现信号降噪;最后基于广义互相关法对降噪后的求取两路信号的时差后,再使用线性定位法对管道泄漏位置定位。实验表明,该方法能有效滤除漏点定位监测过程中的非平稳随机噪声,获得了较高的时差估计精度,提高了管道漏点定位的准确性。
The precision of time delay estimation is an important factor affecting the accuracy of pipeline leakage location.To solve the problem of inaccurate pipeline leakage location in noisy environments,apipeline leakage location method based on empirical mode decomposition and cross-correlation time delay estimation was presented.Firstly,empirical mode decomposition was conducted on the noisy signals and a series of eigenmode functions arrayed from high frequency to low frequency were obtained.Pearson correlation coefficients were used to determine the demarcation between noise components and signal components in the eigenmode functions so as to reconstruct signal components and reduce signal noise.Finally,the pipeline leakage was located by using the linear method after the time delay between the two signals was obtained based on the generalized cross-correlation method for noise reduction.Experiments show that this method can effectively filter out the random nonstationary noise in the monitoring process of leakage location,obtain higher time delay estimation precision,and improve the accuracy of pipeline leakage location.
引文
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