{"title":"Design of a Novel Vibration Sensor Based on Quartz MEMS Resonant Accelerometer","authors":"Zeyu Yang;Han Zhang;Shengshou Lin;Chengcheng Xu;Ran Tao;Zhe Li;Jinxing Liang","doi":"10.1109/JSEN.2025.3552776","DOIUrl":null,"url":null,"abstract":"To address the limitations of traditional vibration sensors in low-frequency response while ensuring a relatively wide bandwidth, this article proposes a resonant accelerometer based on a double-ended tuning fork (DETF) structure. The study focuses on the design, simulation, fabrication, and testing of the DETF-based resonant accelerometer. Optimized through design and simulation, the sensor demonstrates high sensitivity and stability, enabling it to adapt to various environmental conditions. Test results show that the accelerometer achieves a quality factor of approximately 19158.93 and a resonant frequency of 102.4813 kHz, confirming the effectiveness of its design. Dynamic and static tests reveal a sensitivity of 2.88 Hz/g, with excellent linearity in the range of 0–1 g. Furthermore, bandwidth tests indicate that the sensor maintains stable performance up to a frequency range of 3000 Hz while ensuring reliable low-frequency vibration measurements. This study provides a novel approach to advanced vibration monitoring, addressing key technical gaps in the field of vibration sensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 9","pages":"14875-14882"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10944268/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
To address the limitations of traditional vibration sensors in low-frequency response while ensuring a relatively wide bandwidth, this article proposes a resonant accelerometer based on a double-ended tuning fork (DETF) structure. The study focuses on the design, simulation, fabrication, and testing of the DETF-based resonant accelerometer. Optimized through design and simulation, the sensor demonstrates high sensitivity and stability, enabling it to adapt to various environmental conditions. Test results show that the accelerometer achieves a quality factor of approximately 19158.93 and a resonant frequency of 102.4813 kHz, confirming the effectiveness of its design. Dynamic and static tests reveal a sensitivity of 2.88 Hz/g, with excellent linearity in the range of 0–1 g. Furthermore, bandwidth tests indicate that the sensor maintains stable performance up to a frequency range of 3000 Hz while ensuring reliable low-frequency vibration measurements. This study provides a novel approach to advanced vibration monitoring, addressing key technical gaps in the field of vibration sensors.
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