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Proceedings Paper

A method of examination of liquids by neural network analysis of reflectometric time domain data from optical capillaries and fibers
Author(s): Michal Borecki; Michael L. Korwin-Pawlowski; Maria Beblowska
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Paper Abstract

This paper presents the construction and working principles of a reflectometric intelligent fiber-optic sensor used for liquid examination. Unlike other well-known fiber optical sensors which use information from optical wavelength variations, the proposed system uses time domain data. The sensing element consists of a length of optical fiber and a short section of optical capillary and works on the reflection intensity basis. The reflected signal level depends on the optical construction of the sensor element. The changes of the monitored signal are caused mainly by variation in light propagation conditions at the interfaces of liquid and gaseous phases. The physical effects involved are Fresnel reflection, local numerical aperture variation and liquid lenses formation. It is possible to call out across the changes of those effects by introducing a measuring procedure which includes submerging, submersion, emerging and emergence of the sensing head from the examined liquid or by local heating of the liquid sample.

Paper Details

Date Published: 2 July 2007
PDF: 4 pages
Proc. SPIE 6619, Third European Workshop on Optical Fibre Sensors, 66193M (2 July 2007); doi: 10.1117/12.738651
Show Author Affiliations
Michal Borecki, Warsaw Univ. of Technology (Poland)
Michael L. Korwin-Pawlowski, Univ. du Québec en Outaouais (Canada)
Maria Beblowska, Warsaw Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 6619:
Third European Workshop on Optical Fibre Sensors
Antonello Cutolo; Brian Culshaw; José Miguel López-Higuera, Editor(s)

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