Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals

Amir A. Khan; Valeriu Vrabie; Guy D'Urso; Jérôme I. Mars

doi:10.1117/12.785995

16 May 2008 Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals

Amir A. Khan, Valeriu Vrabie, Guy D'Urso, Jérôme I. Mars

Author Affiliations +

Proceedings Volume 7004, 19th International Conference on Optical Fibre Sensors; 70042N (2008) https://doi.org/10.1117/12.785995
Event: 19th International Conference on Optical Fibre Sensors, 2008, Perth, WA, Australia

Abstract

Distributed temperature sensors (DTS) based on fiber optics present an efficient means for temperature data acquisition. The use of DTS data to detect leakages in dikes necessitates some processing of this data. Formulating leakage detection as a source separation problem, the goal of this paper is to compare various blind source separation techniques for percolation type leakage detection using a real data set. Singular value decomposition can be used as the first step to separate out the ground response where acquisitions are made. Two independent component analysis algorithms, JADE and FastICA, assuming independence of sources, are tested to find the best solution for leakage detection.

Citation Download Citation

Amir A. Khan, Valeriu Vrabie, Guy D'Urso, and Jérôme I. Mars "Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals", Proc. SPIE 7004, 19th International Conference on Optical Fibre Sensors, 70042N (16 May 2008); https://doi.org/10.1117/12.785995

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