Micromachined Capacitive Vibration Sensor with High Passband Flatness for Condition Based Monitoring

Chung-Yang Sue, C. Hsiao, Che-Kai Yeh
{"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.
用于状态监测的高通带平面度微机械电容振动传感器
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.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信