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Fiber Bragg Grating Spectrum Analysis Based on Intelligent Computing
In view of the problems encountered in the process of analyzing fiber grating feature, in order to reduce the amount of data calculation as well as acquire characteristics information of fiber Bragg grating reflection spectrum rapidly and accurately, we put forward the improved scheme based on particle swarm optimization algorithm. The identified fiber Bragg grating reflection spectrum characteristic information amount is used to represent fiber grating sensing. Fiber Bragg grating uniform axial force is used as an example to verify that the algorithm is suitable in the fiber Bragg grating reflection spectrum analysis, which also has advantages of high stability and good accuracy.
Fiber Bragg Grating Spectrum Analysis Based on Intelligent Computing
In view of the problems encountered in the process of analyzing fiber grating feature, in order to reduce the amount of data calculation as well as acquire characteristics information of fiber Bragg grating reflection spectrum rapidly and accurately, we put forward the improved scheme based on particle swarm optimization algorithm. The identified fiber Bragg grating reflection spectrum characteristic information amount is used to represent fiber grating sensing. Fiber Bragg grating uniform axial force is used as an example to verify that the algorithm is suitable in the fiber Bragg grating reflection spectrum analysis, which also has advantages of high stability and good accuracy.
Fiber Bragg Grating Spectrum Analysis Based on Intelligent Computing
Gao, Shengyu (author) / Gu, Chengyang (author) / Sun, Nan (author)
2015-12-01
154083 byte
Conference paper
Electronic Resource
English
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