Development of a High-Precision Temperature Measurement Instrument Based on Quartz Tuning-Fork Temperature Sensor

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This paper presents a high precision temperature measurement instrument based on quartz tuning-fork temperature sensor (QTTS) using Artificial Neural Networks (ANN). The advantage of QTTS is a great sensitivity which makes possible to determine the temperature with the accuracy of 0.01 °C , but the QTTS based temperature measurement instrument often appears as erroneous temperature reading when using standard polynomial calibration techniques over a large temperature range. For high precision temperature measurement, a new method is presented to compensate non-linearity of QTTS based instrument using non-linearity compensation model using ANN by Levenberg-Marquardt algorithm to settle its non-linear problem. The hardware and software parts of the system are integrated in a PC-based instrument used for operation and calibration. ANN based modelling and correction technique has been evaluated experimentally, followed by experimental results obtained by applying the method to QTTS calibration.

Info:

Periodical:

Key Engineering Materials (Volumes 381-382)

Edited by:

Wei Gao, Yasuhiro Takaya, Yongsheng Gao and Michael Krystek

Pages:

477-480

DOI:

10.4028/www.scientific.net/KEM.381-382.477

Citation:

J. Xu et al., "Development of a High-Precision Temperature Measurement Instrument Based on Quartz Tuning-Fork Temperature Sensor", Key Engineering Materials, Vols. 381-382, pp. 477-480, 2008

Online since:

June 2008

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Price:

$35.00

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