首页|Modified simulated annealing evolutionary algorithm for fully distributed fiber Bragg grating temperature sensing

Modified simulated annealing evolutionary algorithm for fully distributed fiber Bragg grating temperature sensing

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In this paper, we present a simple and fast spectra inversion method to reconstruct the temperature distribution along single fiber Bragg grating (FBG) temperature sensor. This is a fully distributed sensing method based on the simulated annealing evolutionary (SAE) algorithm. Several modifications are made to improve the algorithm efficiency, including choosing the most superior chromosome, setting up the boundary of every gene according to the density of resonance peaks of the reflection spectrum, and dynamically modifying the boundary with the algorithm running. Numerical simulation results show that both the convergence rate and the fluctuation are significantly improved. A high spatial temperature resolution of 0.25 mm has been achieved at the time cost of 86 s.

fiber Bragg grating (FBG)spectrum inversion algorithmfully distributed temperature sensing

CHEN Na、LI Cheng-lin、CHEN Zhen-yi、PANG Fu-fei、ZENG Xiang-long、SUN Xiao-lan、WANG Ting-yun

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Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China

Development Foundation of the Education Commission of Shanghai MunicipalityCultivation Foundation of the Key Scientific and Technical Innovation ProjectResearch Foundation for the Doctoral Program of Higher Education Ministry of Education of ChinaShanghai Leading Academic Discipline ProjectNatural Science Foundation of Shanghai Municipality

2008CG4770804120093108120017S3010809ZR1412200

2011

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子:0.196
ISSN:1007-6417
年,卷(期):2011.15(1)
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