传感技术学报2017，Vol.30Issue(7)：1062-1069,8.DOI:10.3969/j.issn.1004-1699.2017.07.016
应变式传感器的信号隔离及数据重构
Signal Isolation and Data Reconstruction for Stain Sensor
摘要
Abstract
Used periodic square waves whose frequency was far higher than the sensor signal's as the carrier signal and the synchronous demodulation one,the output of strain sensor was isolated with an isolation transformer by means of modulation and demodulation.The data reconstruction module for the strain sensor was founded by moving least square regress(MLSR).The module's input variables included those digital signals corresponding to the isolated signal and the sensor operating temperature;meanwhile the actual load for the sensor was the module's output variable.Experiment showed that the transformer isolation way used for analog signal isolation could get high temperature stability,and the reconstruction module had lower load detection error than the one based on traditional least square regress(LSR).Within the experiment temperature,the error of the transformer isolation for the analog signal was less than ±0.2%,and the error of load detection was less than ±0.07% by using the reconstruction module based on MLSR.关键词
应变式传感器/模拟信号隔离/调制与解调/数据重构/移动最小二乘回归Key words
strain sensor/analog signal isolation/modulation and demodulation/data reconstruction/moving least square regression分类
机械制造引用本文复制引用
乔爱民,何博侠,黄迎辉,王艳春..应变式传感器的信号隔离及数据重构[J].传感技术学报,2017,30(7):1062-1069,8.基金项目
国家自然科学基金项目(51175267,51575281) （51175267,51575281）
安徽高校自然科学研究重点项目(KJ2017A565,KJ20160A452) （KJ2017A565,KJ20160A452）
安徽省高校优秀青年人才支持计划项目(gxyq2017098) （gxyq2017098）
