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Related Experiment Video

Updated: May 29, 2026

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

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

Kuo-Chih Chuang¹, Chien-Ching Ma, Chao-Hsiang Wang

¹School of Aeronautics and Astronautics, Institute of Applied Mechanics, Zhejiang University, Hangzhou, China. chuangkc@zju.edu.cn

|September 28, 2011

Summary

A modified Gaussian function (MGF) improves fiber Bragg grating (FBG) sensing accuracy by modeling spectral sidelobes. This enhanced FBG sensor modeling predicts system behaviors like saturation and sensitivity more precisely.

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Published on: March 8, 2020

Area of Science:

Optical Engineering
Sensor Technology
Materials Science

Background:

Fiber Bragg Gratings (FBGs) are widely used for strain and temperature sensing.
Accurate modeling of FBG spectral characteristics, including sidelobes, is crucial for precise sensing.
Conventional Gaussian functions may not fully capture FBG spectral behavior.

Purpose of the Study:

To introduce and validate a modified Gaussian function (MGF) for modeling FBG sensors and filters.
To improve the prediction accuracy of FBG sensing system performance.
To enhance the understanding of FBG filter-based displacement and temperature sensing.

Main Methods:

Development of a modified Gaussian function (MGF) approximation.
Experimental setup for FBG sensor and filter characterization.
Comparison of MGF predictions with experimental data for FBG systems.

Main Results:

The MGF accurately models FBG reflected spectrum, including sidelobes.
MGF-based predictions show higher accuracy for FBG sensing system behaviors.
Key behaviors like saturation, sensitivity, and sensing range are predicted more effectively.

Conclusions:

The MGF approximation offers a more accurate method for modeling FBG sensors and filters.
Improved modeling enhances the predictability of FBG sensing system performance.
This approach is valuable for optimizing FBG-based strain and temperature sensing applications.