An Improved LSSVR-Based Nonlinear Calibration for Thermocouple

摘要：

A new approach to nonlinear calibration of thermocouple based on a improved least squares support vector regression machine(LS-SVR)is proposed.Firstly,the response of compensator based on the principle of inverse model is expressed in terms of thermocouple’s output by a power series.Therefore,the nonlinear calibration of thermocouple is transformed to the identification problem of compensator model.Then,aiming at the calibration data set with n data points and m features and n>>m,Sherman-Morrison-Woodbury(SMW)transformation is introduced,through which solving a LSSVR only involves inverting an m dimensional matrix instead of n dimensional one.Lastly,the data of platinumrhodium 30–platinum-rhodium 6 thermocouple(B)are used to test and the experiment results demonstrate that the computational complexity of improved LSSVR is independent of the sample size n,and the efficiency of which is superior.Thus this compensation technique provides faster calibration on a large sample condition.

作者: Xiaoh Wang

作者单位: Key Lab of Numerical Control of Jiangxi Province,Jiujiang University,Jiujiang 332005,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）