NDLI: An Improved LSSVR-Based Nonlinear Calibration for Thermocouple

Content Provider	IEEE Xplore Digital Library
Author	Xiaoh Wang
Copyright Year	2008
Description	Author affiliation: Key Lab. of Numerical Control ofJiangxi Province, Jiujiang Univ., Jiujiang (Xiaoh Wang)
Abstract	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 thermocouplepsilas 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 platinum-rhodium 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.
Starting Page	421
Ending Page	424
File Size	274946
Page Count	4
File Format	PDF
ISBN	9780769533919
DOI	10.1109/ICINIS.2008.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	inverse model nonlinear calibration Artificial neural networks Sensor phenomena and characterization Calibration Least squares methods Intelligent sensors Temperature sensors Intelligent networks thermocouple Inverse problems Thermal sensors Intelligent systems LSSVR
Content Type	Text
Resource Type	Article

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