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  • 标题:Analysis of Quartz Resonator Array Based on Data Fusion Technology for High Performance Thermal Sensors
  • 本地全文:下载
  • 作者:Jing Ma ; Hai-bo Xu ; Hong-bo Wu
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2013
  • 卷号:6
  • 期号:6
  • 页码:69-78
  • DOI:10.14257/ijsip.2013.6.6.07
  • 出版社:SERSC
  • 摘要:In order to improve the accuracy and reliability of temperature measurements, put forward a kind of high precision non-contact temperature measuring system, which is composed of the quartz temperature sensor array and microprocessors. The sensor used by the system is the quartz tuning fork non-contact temperature sensor based on polymer line, and the polymer line that is highly sensitive to temperature is as the sensitive element, in combination with quartz tuning fork resonator that is not sensitive to the temperature , and they form the high precision temperature sensor together. Compared with the traditional thermometry, set up a new temperature sensor array to measure temperature, which uses the Bayes estimation to fuse the data measured by the temperature sensor array, and calculate the accurate temperature measurements. The experimental results shown that the measurement precision of sensing system is 0.02 ℃ , and the sensitivity is 71.5×10 -6 / ℃ within temperature range from 0°C to 100°C.The system has advantages of the high precision, and the good stability, and reliable performance, etc
  • 关键词:Quartz temperature sensor based on polymer line; Sensor array; Data ; fusion; Bayes estimation
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