Share Email Print
cover

Proceedings Paper

Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals
Author(s): Amir A. Khan; Valeriu Vrabie; Guy D'Urso; Jérôme I. Mars
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 16 May 2008
PDF: 4 pages
Proc. SPIE 7004, 19th International Conference on Optical Fibre Sensors, 70042N (16 May 2008); doi: 10.1117/12.785995
Show Author Affiliations
Amir A. Khan, Grenoble Institute of Technology (France)
Valeriu Vrabie, Univ. de Reims (France)
Guy D'Urso, Electricité de France (France)
Jérôme I. Mars, Grenoble Institute of Technology (France)


Published in SPIE Proceedings Vol. 7004:
19th International Conference on Optical Fibre Sensors

© SPIE. Terms of Use
Back to Top