An optical fibre sensor for in situ measurement of external species in fluids based on artificial neural network pattern recognition

W. B. Lyons, H. Ewald, C. Flanagan, E. Lewis

Research output: Contribution to journalArticlepeer-review

Abstract

An optical fibre sensor system capable of detecting contaminants (e.g. particles, inorganic or organic species) in water and other fluids is reported. In this article experimental results are presented for a single optical fibre sensor located at a distance of 150 m from the transmitter/receiver of the system. The fibre is addressed using an optical time domain reflectometer (OTDR) in order to achieve the spatial resolution (along the fibre length) necessary for this investigation. Novel signal processing techniques involving artificial neural networks and pattern recognition have been applied to the signals arising from the sensor in order to allow cross-sensitivity effects, e.g. from fouling due to calcification, to be extracted from the real measurand, e.g. alcohol content.

Original languageEnglish
Pages (from-to)635-646
Number of pages12
JournalPhysiological Measurement
Volume22
Issue number3
DOIs
Publication statusPublished - 2001

Keywords

  • Alcohol sensor
  • Distributed optical fibre sensor
  • Neural networks
  • OTDR
  • Pattern recognition

Fingerprint

Dive into the research topics of 'An optical fibre sensor for in situ measurement of external species in fluids based on artificial neural network pattern recognition'. Together they form a unique fingerprint.

Cite this