{"title":"Micromachined Capacitive Vibration Sensor with High Passband Flatness for Condition Based Monitoring","authors":"Chung-Yang Sue, C. Hsiao, Che-Kai Yeh","doi":"10.1109/ECICE50847.2020.9301966","DOIUrl":null,"url":null,"abstract":"A micromachined capacitive vibration sensor is proposed in this work for machine tool condition monitoring. The sensing element design, readout circuit, system module design, and experimental results are also investigated. A systematic FIR compensation filter for the proposed vibration monitoring system enhances the flatness of the passband frequency so that the output amplitude of the sensor keeps near a constant under different excitation frequencies. The passband flatness of the compensated MEMS vibration sensor is about 7.5% with the 5kHz bandwidth and the noise density is about $31\\mu g/\\sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"496 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE50847.2020.9301966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A micromachined capacitive vibration sensor is proposed in this work for machine tool condition monitoring. The sensing element design, readout circuit, system module design, and experimental results are also investigated. A systematic FIR compensation filter for the proposed vibration monitoring system enhances the flatness of the passband frequency so that the output amplitude of the sensor keeps near a constant under different excitation frequencies. The passband flatness of the compensated MEMS vibration sensor is about 7.5% with the 5kHz bandwidth and the noise density is about $31\mu g/\sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.
本文提出了一种用于机床状态监测的微加工电容式振动传感器。对传感元件设计、读出电路、系统模块设计和实验结果进行了研究。所提出的振动监测系统采用系统FIR补偿滤波器,提高了通带频率的平坦度,使传感器在不同激励频率下的输出幅值保持在一个常数附近。补偿后的MEMS振动传感器通带平整度约为7.5% with the 5kHz bandwidth and the noise density is about $31\mu g/\sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.