Simultaneous recovery of temperature and strain: an artificial neural network approach

Chi C. Chan, Wei Jin, A. Besharati Rad, M. Suleyman Demokan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we report an Artificial Neural Network approach for simultaneous recovery of strain and temperature from the outputs of fiber optic sensors. Simulation results for both linear and non-linear sensing schemes are presented.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages362-368
Number of pages7
Volume3099
ISBN (Print)0819425192
Publication statusPublished - 1 Dec 1997
EventMicro-optical Technologies for Measurement, Sensors and Microsystems II and Optical Fiber Sensor Technologies and Applications - Munich, Germany
Duration: 16 Jun 199716 Jun 1997

Conference

ConferenceMicro-optical Technologies for Measurement, Sensors and Microsystems II and Optical Fiber Sensor Technologies and Applications
CountryGermany
CityMunich
Period16/06/9716/06/97

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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