Performance analysis of a fiber Bragg grating filter-based strain/temperature sensing system based on a modified Gaussian function approximation method

Abstract

This paper analyzes the performance of a fiber Bragg grating (FBG) filter-based strain and/or temperature sensing system based on a modified Gaussian function (MGF) approximation method. Instead of using a conventional Gaussian function, we propose the MGF, which can capture the characteristics of the sidelobes of the reflected spectrum, to model the FBG sensor and filter. We experimentally demonstrate that, by considering the contributions of the sidelobes with the MGF approximation method, behaviors of the FBG filter-based FBG displacement and/or temperature sensing system can be predicted more accurately. The predicted behaviors include the saturation, the sensitivity, the sensing range, and the optimal initial Bragg wavelengths of the FBG sensing system.

© 2011 Optical Society of America

Simultaneous measurement of dynamic displacement and strain in a single fiber using coarse wavelength-division multiplexing and fiber Bragg-grating filter-based sensing system

Kuo-Chih Chuang, Chien-Ching Ma, and Hwa-Chun Wang
Appl. Opt. 55(9) 2426-2434 (2016)

Design and performance investigation of a highly accurate apodized fiber Bragg grating-based strain sensor in single and quasi-distributed systems

Taha A. Ali, Mohamed I. Shehata, and Nazmi A. Mohamed
Appl. Opt. 54(16) 5243-5251 (2015)

Multipoint temperature-independent fiber-Bragg-grating strain-sensing system employing an optical-power-detection scheme

Yan-Ju Chiang, Likarn Wang, Horng-Shyang Chen, Chih-Chung Yang, and Wen-Fung Liu
Appl. Opt. 41(9) 1661-1667 (2002)

Pointwise fiber Bragg grating displacement sensor system for dynamic measurements

Kuo-Chih Chuang and Chien-Ching Ma
Appl. Opt. 47(20) 3561-3567 (2008)

Use of a single-multiple-single-mode fiber filter for interrogating fiber Bragg grating strain sensors with dynamic temperature compensation

Qiang Wu, Agus Muhammad Hatta, Yuliya Semenova, and Gerald Farrell
Appl. Opt. 48(29) 5451-5458 (2009)