Analysis of a FBG sensing system with transverse uniform press by using genetic algorithm

Abstract

An analytical method in a quasi-static fiber grating sensing system under transverse uniform press is proposed based on genetic algorithm The effect of population size, generations, crossover ratio and mutation ratio to genetic algorithm, and the optimization parameters of genetic algorithm were given. The relevant experimental system is constructed. The simulation and experiments show that the analytical method proposed can be applied to analyze the reflective spectra of the quasistatic FBG sensing system at transverse uniform press, the strain measurement with high-precision of 0.91% can be realized CLC numbers: TN253 Document code: A

High precision uwCFBG wavelength calculation method based on correlation coefficient

“…However, for the relatively plateaued peak of the chirped spectrum, there is a significant discrepancy between the maximum value and the center wavelength. The second is the Gaussian function fitting method, encompassing genetic algorithms [15], ant colony algorithms [16], neural network algorithms [17], and particle swarm algorithms [18]. Yet, this method overlooks the broad pulse shape of the uwCFBG spectrum, making the accurate determination of the center wavelength position challenging when the waveform is asymmetrical [19].…”

Sampled Fiber Bragg Grating spectral synthesis

“…On [10], an optimization algorithm is proposed to estimate some parameters of a chirped FBG under a predefined strain profile from the FBG spectrum. Genetic algorithms [11] and Particle Swarm Optimization (PSO) [12] have been also proposed to obtain the transverse strain applied to a FBG, demonstrating the capabilities of these algorithms for spectral synthesis.…”