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

doi:10.1016/S0924-4247(03)00323-6

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 publication › Journal article › Academic research › peer-review

53 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	57-61
Number of pages	5
Journal	Sensors and Actuators, A: Physical
Volume	107
Issue number	1
DOIs	https://doi.org/10.1016/S0924-4247(03)00323-6
Publication status	Published - 1 Oct 2003

Keywords

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

More information

10.1016/S0924-4247(03)00323-6

Scopus Link

Cite this

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