节点文献
多项式回归在智能传感器线性化中的应用
Application of Polynomial Regression in the Smart Sensor Linearization
【摘要】 利用最小二乘回归分析介绍多项式回归在智能传感器非线性补偿中的应用 ,提出了以传感器输入量作拟合多项式自变量和传感器输出量作拟合多项式自变量的两种补偿方法 ,并通过实例对这两种方法进行了分析和对比。
【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.
- 【文献出处】 传感技术学报 ,Journal of Transcluction Technology , 编辑部邮箱 ,2005年01期
- 【分类号】TP274;TP212.6
- 【被引频次】22
- 【下载频次】238