Improving the performance of a FBG sensor network using a genetic algorithm

C. Z. Shi, C. C. Chan, Wei Jin, Y. B. Liao, Y. Zhou, M. S. Demokan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

67 Citations (Scopus)


The improvement in the performance of a fiber Bragg gratings (FBG) sensor network was discussed. A genetic algorithm was used to improve the performance of FBG sensors within a wavelength-division multiplexed sensor network. It was found that the wavelength detection accuracy of a few microstrains was partially or completely overlapped.
Original languageEnglish
Pages (from-to)57-61
Number of pages5
JournalSensors and Actuators, A: Physical
Issue number1
Publication statusPublished - 1 Oct 2003


  • Fiber Bragg gratings
  • Fiber optics sensors
  • Genetic algorithm

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering


Dive into the research topics of 'Improving the performance of a FBG sensor network using a genetic algorithm'. Together they form a unique fingerprint.

Cite this