Research on a quality feature recognition method of fiber Bragg grating reflectance spectrum

Hong Jiang; Zhichao Zhang; Guohui Wu

doi:10.1117/12.2687043

6 August 2023 Research on a quality feature recognition method of fiber Bragg grating reflectance spectrum

Hong Jiang, Zhichao Zhang, Guohui Wu

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 1278113 (2023) https://doi.org/10.1117/12.2687043
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

The quality of the reflection spectrum of the Fiber Bragg Grating (FBG) will directly affect the performance of the grating sensor network. Aiming at the problem of quality detection of fiber Bragg grating sensor network prepared online, this paper proposes a reflection spectrum quality identification algorithm based on Support Vector Machine (SVM). Firstly, the characteristic information of the original reflection spectrum is extracted based on theory and simulation. Then the raw feature information is preprocessed using a "signal segmentation and search model" to find the approximate locations of the original reflection spectrum. Finally, the kernel function is used to optimize the SVM network model until the recognition accuracy of the reflection spectrum quality feature meets the requirements. 2000 groups of reflection spectrum characteristic data were put into SVM recognition network for training, the recognition effect reached 99.9%. Finally, the non-uniform temperature field is established, and the experimental results show that the algorithm can identify the distortion spectrum pattern of the fiber Bragg grating array with more than 99% accuracy. It effectively improves the recognition accuracy of reflection spectrum peak sag and distortion and provides a new idea for the quality detection of core components of fiber Bragg grating sensor network.

Citation Download Citation

Hong Jiang, Zhichao Zhang, and Guohui Wu "Research on a quality feature recognition method of fiber Bragg grating reflectance spectrum", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 1278113 (6 August 2023); https://doi.org/10.1117/12.2687043

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