High-Quality Factor FBG-FPI Accelerometer With Adjustable Resonant Frequency and Sensitivity Using Additional Mass

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Fanxu Geng;Xingyong Li;Xin Liu;Shuangshuang Li;Ruohui Wang;Fengyi Chen;Xueguang Qiao
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引用次数: 0

Abstract

We propose and demonstrate a spring-mass structure accelerometer based on a fiber Bragg grating Fabry-Perot interferometer (FBG-FPI). The sensitivity and resonant frequency of the accelerometer can be adjusted by adding an additional mass block. A theoretical model of the accelerometer was established and simulated using finite element analysis, with experimental verification of the theoretical formulas for its sensitivity and resonant frequency. Experimental results indicate that modifying the additional mass block allows adjustment of the accelerometer’s resonant frequency within the range of 720–1200 Hz, achieving a maximum sensitivity of 403.2 rad/g. To further validate the proposed method’s effectiveness, we conducted a comparative test between this accelerometer and a traditional electromagnetic one, confirming its performance and reliability in practical applications.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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