A residual compensation method for the calibration equation of negative temperature coefficient thermistors

Chung, Jae Pil; Oh, Se Woon

doi:10.1016/j.tca.2015.07.015

Cited by 15 publications

(2 citation statements)

References 3 publications

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“…Calibration of NTC thermistors using the residual compensation method was discussed in. 30 In, 31 four-wire measurements were used to eliminate errors and maximize resolution and current consistent with the thermistor's input voltage range and self-heating. Results showed that the number of parameters could considerably influence the interpolation error.…”

Section: Introductionmentioning

confidence: 99%

An adaptive calibration technique for thermistor with varying temperature coefficient and reference resistance

2022

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Background: A thermistor is a nonlinear sensor requiring a precise calibration technique to achieve accurate temperature measurements. This paper attempts to design a calibration technique employing artificial neural network (ANN) algorithms. The present work fulfills the following objectives: (i) to cover 100% input range in the linearity range measurement; (ii) to make the measurement technique adaptive to variations in reference resistance and thermistor temperature coefficient using a calibration technique. Methods: An ANN-based calibration circuit is cascaded to the data conversion circuit. Optimized ANN is trained with linear data independent of reference resistance and temperature coefficient effects on thermistor output. ANN optimization is performed by comparing various schemes, algorithms, and numbers of hidden layers to achieve a minimum mean square error and a regression close to 1. Results: The proposed technique provides a linear relationship for the system over the entire input range and avoids the requirement of repeated calibrations each time the thermistor is replaced. Practical data are used to validate the proposed measurement technique. Conclusions: The objectives and proposed technique have been demonstrated by results with a root mean square percentage error of 1.8%.

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Section: Introductionmentioning

confidence: 99%

An adaptive calibration technique for thermistor with varying temperature coefficient and reference resistance

2022

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“…In some large space optical remote sensors, a precision of below 50 mK in temperature control for the primary mirror needs to be maintained during operations within a narrow (5 K) temper ature range of 290.15 K-295.15 K. The NTC thermistors used in space optical remote sensors include the high-precision MF501 NTC thermistors 4 . Their accuracy in temperature measurements strongly depends on the resistance-temperature calibration equation used [1][2][3]. Generally, the coefficients of these equations are mainly determined using interpolation or curve fitting methods for a set of calibration points.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty propagation in the calibration equations for NTC thermistors

et al. 2018

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The uncertainty propagation problem is quite important for temperature measurements, since we rely so much on the sensors and calibration equations. Although uncertainty propagation for platinum resistance or radiation thermometers is well known, there have been few publications concerning negative temperature coefficient (NTC) thermistors. Insight into the propagation characteristics of uncertainty that develop when equations are determined using the Lagrange interpolation or least-squares fitting method is presented here with respect to several of the most common equations used in NTC thermistor calibration. Within this work, analytical expressions of the propagated uncertainties for both fitting methods are derived for the uncertainties in the measured temperature and resistance at each calibration point. High-precision calibration of an NTC thermistor in a precision water bath was performed by means of the comparison method. Results show that, for both fitting methods, the propagated uncertainty is flat in the interpolation region but rises rapidly beyond the calibration range. Also, for temperatures interpolated between calibration points, the propagated uncertainty is generally no greater than that associated with the calibration points. For least-squares fitting, the propagated uncertainty is significantly reduced by increasing the number of calibration points and can be well kept below the uncertainty of the calibration points.

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Temperature monitoring and sensitivity analysis of tunnel in swelling paleosol layer of the Chinese Loess Plateau

Zhu

Wang

Xie

2022

Bull Eng Geol Environ

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A residual compensation method for the calibration equation of negative temperature coefficient thermistors

Cited by 15 publications

References 3 publications

An adaptive calibration technique for thermistor with varying temperature coefficient and reference resistance

An adaptive calibration technique for thermistor with varying temperature coefficient and reference resistance

Uncertainty propagation in the calibration equations for NTC thermistors

Temperature monitoring and sensitivity analysis of tunnel in swelling paleosol layer of the Chinese Loess Plateau

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