Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27890
Title: Improving the performance of a FBG sensor network using a genetic algorithm
Authors: Shi, CZ
Chan, CC
Jin, W 
Liao, YB
Zhou, Y
Demokan, MS
Keywords: Fiber Bragg gratings
Fiber optics sensors
Genetic algorithm
Issue Date: 2003
Publisher: Elsevier
Source: Sensors and actuators. A, Physical, 2003, v. 107, no. 1, p. 57-61 How to cite?
Journal: Sensors and actuators. A, Physical 
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.
URI: http://hdl.handle.net/10397/27890
ISSN: 0924-4247
EISSN: 1873-3069
DOI: 10.1016/S0924-4247(03)00323-6
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