2005•Journal of Transcluction TechnologyRequires access

Application of Polynomial Regression in the Smart Sensor Linearization

Sun Hui-ming

Abstract

The application of polynomial regression in the smart sensor nonlinearity compensation was introduced by making use of least-squares polynomial regression analysis. The two kinds of compensation method were put forward. One is the quantity to be measured as the independent variable of fitting polynomial; the other is the sensor's response as the independent variable of fitting polynomial. Two kinds of compensation method is analyzed and contrasted by a practical example.

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Key concepts: Polynomial regression, Polynomial, Compensation (psychology), Linearization, Variable (mathematics), Control theory (sociology), Regression analysis, Mathematics