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

Amir Ali Khan (1) , Valeriu Vrabie (2) , Guy d'Urso (3) , Jerome I. Mars (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
3 EDF - EDF

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Amir Ali Khan, Valeriu Vrabie, Guy d'Urso, Jerome I. Mars. Blind source separation techniques for percolation type leakage detection in dikes using fiber optic DTS signals. 19th International Conference on Optical Fibre Sensors, Apr 2008, Perth, Australia. pp.SPIE-70042N, ⟨10.1117/12.785995⟩. ⟨hal-00326386⟩