FBG Accelerometer With High Figure of Merit Based on Double Short Gratings

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-11-04 DOI:10.1109/JSEN.2024.3487540

Feng Li;Shupeng Wang;Faxiang Zhang;Shaodong Jiang

引用次数: 0

Abstract

The tradeoff between sensitivity and frequency band is problematic for fiber Bragg grating (FBG) accelerometer, and synchronous enhancement is an urgent technical problem. We report a novel fiber-optic accelerometer with high figure of merit (FOM) based on double short gratings, which are inscribed by a femtosecond laser and symmetrically fixed to an M-shaped hinge to increase the sensitivity and reduce the temperature interference. Experiments show that the sensor possesses a resonant frequency of 400 Hz, a high acceleration sensitivity of 729.24 pm/g (1.5 dB), and a high FOM of 116 678 400 pm

$\cdot $

$^{-{1}} \cdot $

Hz2, which is higher than the level (5 000 000 pm

$\cdot $

$^{-{1}} \cdot $

Hz2) of conventional FBG sensors. The sensor has great potential in low-frequency (as low as 0.1 Hz) microvibration measurement.

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来源期刊

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