A multipoint optical fibre sensor system for use in process water systems based on artificial neural network pattern recognition techniques

D. King, W. B. Lyons, C. Flanagan, E. Lewis

Research output: Contribution to journalArticlepeer-review

Abstract

A dual-element multipoint optical fibre sensor system capable of detecting ethanol in water supplies is reported. The sensor system utilises a U-bend configuration for each sensor element in order to maximise the sensitivity of the system and is interrogated using a technique known as optical time domain reflectometry, as this method is capable of detecting attenuation over distance. Analysis of the data arising from the sensor system is performed using artificial neural network (ANN) pattern recognition techniques, coupled with Fourier transform-based signal processing. The signal processing techniques are applied to the obtained sensor system data, prior to the ANN analysis, with the aim of reducing the computational resources required by the implemented ANN in software.

Original languageEnglish
Pages (from-to)293-302
Number of pages10
JournalSensors and Actuators, A: Physical
Volume115
Issue number2-3 SPEC. ISS.
DOIs
Publication statusPublished - 21 Sep 2004

Keywords

  • Artificial neural networks
  • Measurement
  • Optical fibre sensors
  • Optical time domain reflectometry
  • U-bend configuration

Fingerprint

Dive into the research topics of 'A multipoint optical fibre sensor system for use in process water systems based on artificial neural network pattern recognition techniques'. Together they form a unique fingerprint.

Cite this