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Proceedings Paper

Optical fiber sensor for use in process water systems utilizing FFT-based techniques and artificial neural network pattern recognition
Author(s): Damien King; William B. Lyons; Colin Flanagan; Elfed Lewis
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Paper Abstract

An optical fiber sensor is reported which is capable of detecting ethanol in water supplied. A single optical fiber sensor was incorporated into a 1km length of 62.5 μm core diameter polymer-clad silica (PCS) optical fiber. In order to maximize sensitivity, a U bend configuration was used for the sensor where the cladding was removed and the core exposed directly to the fluid udner test. The sensor was interrogated using Optical Time Domain Reflectometry, OTDR as it is intended to extend this work to multiple sensors on a single fiber. In this investigation the sensor as exposed to air, water and alcohol. The signal processing technique has been desigend to optimize the neural network adopted in the existing sensor system. In this investigation the FFT is used and its application leads to an improvement in efficiency of the neural network i.e. minimizing the computing resources. Using SNNS, a feed forward three layer neural network was constructed with the number of input nodes corresponding to the number points required to represent the sensor frequency domain response.

Paper Details

Date Published: 27 August 2003
PDF: 8 pages
Proc. SPIE 4876, Opto-Ireland 2002: Optics and Photonics Technologies and Applications, (27 August 2003); doi: 10.1117/12.463994
Show Author Affiliations
Damien King, Univ. of Limerick (Ireland)
William B. Lyons, Univ. of Limerick (Ireland)
Colin Flanagan, Univ. of Limerick (Ireland)
Elfed Lewis, Univ. of Limerick (Ireland)


Published in SPIE Proceedings Vol. 4876:
Opto-Ireland 2002: Optics and Photonics Technologies and Applications
Vincent Toal; Norman Douglas McMillan; Gerard M. O'Connor; Eon O'Mongain; Austin F. Duke; John F. Donegan; James A. McLaughlin; Brian D. MacCraith; Werner J. Blau, Editor(s)

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