ePrints

Leak detection of complex pipelines based on the filter diagonalization method: robust technique for eigenvalue assessment

Lookup NU author(s): Carlo Pariset

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

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.

Publication metadata

Author(s): Lay-Ekuakille A, Pariset C, Trotta A

Publication type: Article

Publication status: Published

Journal: Measurement Science and Technology

Year: 2010

Volume: 21

Issue: 11

Print publication date: 21/09/2010

ISSN (print): 0957-0233

ISSN (electronic): 1361-6501

Publisher: Institute of Physics Publishing Ltd.

URL: http://dx.doi.org/10.1088/0957-0233/21/11/115403

DOI: 10.1088/0957-0233/21/11/115403

Altmetrics

Share