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

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

75 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

Cite this

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title = "Improving the performance of a FBG sensor network using a genetic algorithm",

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.",

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AU - Chan, C. C.

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AU - Zhou, Y.

AU - Demokan, M. S.

PY - 2003/10/1

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AB - 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.

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KW - Fiber optics sensors

KW - Genetic algorithm

UR - https://www.scopus.com/pages/publications/0042281884

U2 - 10.1016/S0924-4247(03)00323-6

DO - 10.1016/S0924-4247(03)00323-6

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JO - Sensors and Actuators, A: Physical

JF - Sensors and Actuators, A: Physical

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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