Both Rayleigh and Brillouin scatterings measurements in optical fibers are able to provide distributed strain and temperature profiles. Acquisition parameters, measurement quality, impact of the environment over time, effective spatial resolution obtained on field are some of the driving specifications. We report here some studies on Brillouin and Rayleigh scattering techniques, related to their performances concerning measurement quality, distance range and spatial resolution. Even if Rayleigh-based measurements are more accurate with 6 µε uncertainty (versus 17 με), Brillouin-based methods are more reliable than Rayleigh-based on cross-correlation for strain difference over 500 με; while with the same parameters Rayleigh-based systems are able to provide a higher effective spatial resolution.
Automatic discrimination between strain and temperature in a Brillouin optical time domain analyzer via artificial neural networks is proposed and discussed in this paper. Using a standard monomode optical fiber as the sensing element, the ability of the proposed solution to detect the known changes that the Brillouin gain spectrum exhibits depending on the applied temperature and/or strain will be studied. Experimental results, where different simultaneous strain and temperature situations have been considered, will show the feasibility of this technique.
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