Leak detection of complex pipelines based on the filter diagonalization method: robust technique for eigenvalue assessment
Leak detection of complex pipelines based on the filter diagonalization method: robust technique for eigenvalue assessment
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DOI：
10.1088/0957-0233/21/11/115403
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发表时间：
2010-11-01
影响因子：
2.4
通讯作者：
Trotta, Amerigo
中科院分区：
文献类型：
--
作者：
Lay-Ekuakille, Aime;Pariset, Carlo;Trotta, Amerigo
FDM（滤波器对角化方法）是核磁共振数据处理中用于解决 FFT（快速傅立叶变换）局限性的一项有趣技术，可以将管道（尤其是复杂的配置）视为具有动脉、静脉、毛细血管等的血管装置。血栓形成可能发生在人类身上，可以将其视为复杂管道（人体血管装置）的泄漏。 FDM 或基于频谱的技术中特征值的选择是恢复主方程（对于 FDM）或频域变换（对于 FFT）的解以确定管道泄漏检测精度的关键问题。本文讨论了通过评估特征值问题的鲁棒算法来提高 FDM 技术泄漏检测精度的可能性，从而使用基于 Tikhonov 的正则化技术减少实验性并更具分析性。本文从作者之前进行的实验程序的结果开始。
The FDM (filter diagonalization method), an interesting technique used in nuclear magnetic resonance data processing for tackling FFT (fast Fourier transform) limitations, can be used by considering pipelines, especially complex configurations, as a vascular apparatus with arteries, veins, capillaries, etc. Thrombosis, which might occur in humans, can be considered as a leakage for the complex pipeline, the human vascular apparatus. The choice of eigenvalues in FDM or in spectra-based techniques is a key issue in recovering the solution of the main equation (for FDM) or frequency domain transformation (for FFT) in order to determine the accuracy in detecting leaks in pipelines. This paper deals with the possibility of improving the leak detection accuracy of the FDM technique thanks to a robust algorithm by assessing the problem of eigenvalues, making it less experimental and more analytical using Tikhonov-based regularization techniques. The paper starts from the results of previous experimental procedures carried out by the authors.