Nonlinear Calibration of Thermocouple Sensor Using Least Squares Support Vector Regression

Yao Jun Yu

doi:10.4028/www.scientific.net/AMR.443-444.302

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 443-444Nonlinear Calibration of Thermocouple Sensor Using...

Nonlinear Calibration of Thermocouple Sensor Using Least Squares Support Vector Regression

Abstract:

Calibration is an important operation in the instrumentation industry for determining the relationship between the output (s) (or response) of a measuring instrument and the value of the input (s). This paper proposes a nonlinear calibration method based on least squares support vector regression (LS-SVR) with the output voltage of thermocouple sensor as input and the measured temperature output to eliminate the nonlinear errors in detection process. Firstly, the nonlinear calibrator, expressed by power series, was established based on the principle of inverse model. And then the parameters of the calibrator were identified by LS-SVR. Through this calibrator, the desired linear characteristics of thermocouple sensor could be obtained. Finally, platinum-rhodium 30– platinum-rhodium 6-thermocouple (B-type) was taken as an example, and experimental results show that the proposed calibration method is efficient in the temperature range from 400°C to 1800°C. And the method has an advantage of analytical expression of the calibration model.

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Periodical:

Advanced Materials Research (Volumes 443-444)

Pages:

302-308

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.443-444.302

Citation:

Cite this paper

Online since:

January 2012

Authors:

Yao Jun Yu

Keywords:

Least Squares Support Vector Regression, Nonlinear Calibration, Power Series, Sensor

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