Note: Temperature-frequency calibration method based on spectral analysis for QCR dew point sensor

Jia Liu; Jing Nie; Xiaofeng Meng

doi:10.1063/1.5025848

Note: Temperature-frequency calibration method based on spectral analysis for QCR dew point sensor

Jia Liu
, Jing Nie
, Xiaofeng Meng

School of Instrumentation and Optoelectronic Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Each quartz crystal resonator (QCR) shows different frequency behavior as a function of temperature. To get the curve of the temperature effect compensation during the dew-deposition process, we use the active controlled temperature type of the QCR dew point sensor. In this note, a QCR temperature-frequency calibration method based on spectral analysis is described. It combines FFT and spectral refinement and the parameter table method to achieve high precision frequency extraction. Frequency identification accuracy is 10^-6. The results showed that the method has a good performance in frequency extraction of the QCR sensors.

Original language	English
Article number	066107
Journal	Review of Scientific Instruments
Volume	89
Issue number	6
DOIs	https://doi.org/10.1063/1.5025848
State	Published - 1 Jun 2018

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title = "Note: Temperature-frequency calibration method based on spectral analysis for QCR dew point sensor",

abstract = "Each quartz crystal resonator (QCR) shows different frequency behavior as a function of temperature. To get the curve of the temperature effect compensation during the dew-deposition process, we use the active controlled temperature type of the QCR dew point sensor. In this note, a QCR temperature-frequency calibration method based on spectral analysis is described. It combines FFT and spectral refinement and the parameter table method to achieve high precision frequency extraction. Frequency identification accuracy is 10-6. The results showed that the method has a good performance in frequency extraction of the QCR sensors.",

author = "Jia Liu and Jing Nie and Xiaofeng Meng",

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year = "2018",

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doi = "10.1063/1.5025848",

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AU - Nie, Jing

AU - Meng, Xiaofeng

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Y1 - 2018/6/1

N2 - Each quartz crystal resonator (QCR) shows different frequency behavior as a function of temperature. To get the curve of the temperature effect compensation during the dew-deposition process, we use the active controlled temperature type of the QCR dew point sensor. In this note, a QCR temperature-frequency calibration method based on spectral analysis is described. It combines FFT and spectral refinement and the parameter table method to achieve high precision frequency extraction. Frequency identification accuracy is 10-6. The results showed that the method has a good performance in frequency extraction of the QCR sensors.

AB - Each quartz crystal resonator (QCR) shows different frequency behavior as a function of temperature. To get the curve of the temperature effect compensation during the dew-deposition process, we use the active controlled temperature type of the QCR dew point sensor. In this note, a QCR temperature-frequency calibration method based on spectral analysis is described. It combines FFT and spectral refinement and the parameter table method to achieve high precision frequency extraction. Frequency identification accuracy is 10-6. The results showed that the method has a good performance in frequency extraction of the QCR sensors.

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VL - 89

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Note: Temperature-frequency calibration method based on spectral analysis for QCR dew point sensor

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