Gas leak locating in steel pipe using wavelet transform and cross-correlation method
Gas leak locating in steel pipe using wavelet transform and cross-correlation method
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DOI：
10.1007/s00170-013-5367-1
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发表时间：
2014-02-01
影响因子：
3.4
通讯作者：
Mostafapour, Amir
中科院分区：
文献类型：
--
作者：
Davoodi, Saman;Mostafapour, Amir
在电厂、石油化工综合设施和炼油厂中，管道泄漏会导致爆炸、污染和严重的物理破坏，因此精确、及时的泄漏定位非常重要。有许多检测和定位泄漏的技术。在本研究中，我们利用声发射理论阐述了加压气体管道的泄漏定位原理。利用MATLAB软件给出了泄漏引起的连续声波定位算法。所使用的泄漏定位技术是小波变换、滤波和互相关方法的结合。对得到的声发射信号进行小波变换，将其分解为高频和低频，并对其上可用的噪声进行滤波，完全剔除。然后对去噪后的声发射信号进行重构。利用互相关函数精确计算去噪波的时间差。为了研究所采用方法的准确性，采用连续泄漏源进行声发射测试。泄漏源两侧的两个声传感器记录泄漏信号，并利用该算法计算时差和泄漏位置。通过改变传感器与泄漏源的距离进行了多次测试，结果表明，该算法的泄漏定位误差小于3%，表明该算法具有较高的精度。
Pipelines leakage in power plant, petrochemical complexes, and refineries can lead to explosion, pollution, and severe physical damages, so precise and on time leak locating is very important. There are many techniques for detecting and locating the leakage. In this research, we represent the leak locating principle in pressurized gas pipelines by using acoustic emission theory. An algorithm for finding the location of continuous acoustic waves resulted from leakage is provided by MATLAB software. The used leak locating technique is a combination of wavelet transform, filtering, and cross-correlation methods. The resulted acoustic emission signals were analyzed into high and low frequencies by wavelet transform and available noises on them were omitted completely by filtering. Then de-noised acoustic emission signals were reconstructed. Time differences of de-noised waves were calculated precisely by using cross-correlation function. For studying the accuracy of used method, acoustic emission testing was done by continuous leakage source. The resulted signals of leakage were recorded by two acoustic sensors in two sides of leakage source, and time difference and leak location were calculated by using the algorithm. Several tests were done by changing sensor distance from leakage source and error percent of less than 3 % was resulted in leak locating that indicated high precision of used algorithm.