哈尔滨工业大学学报（英文版）2006，Vol.13Issue(4)：421-426,6.
Methods of data processing in multi-wavelength thermometry
Methods of data processing in multi-wavelength thermometry
摘要
Abstract
Three kinds of methods for processing the data of the multi-wavelength pyrometer are presented in this paper and are named curve auto-search method, curve auto-regression method and neural network method.The experimental results indicate that the calculated temperature and the spectral emissivity compared with the true target temperature and spectral emissivity have significant deviation using the curve auto-search and the curve auto-regression methods. However, the calculated temperature and the spectral emissivity with higher accuracy can be obtained using the neural network method.关键词
multi-wavelength thermometry/curve auto-search method/curve auto-regression method/neural networkKey words
multi-wavelength thermometry/curve auto-search method/curve auto-regression method/neural network分类
机械制造引用本文复制引用
SUN Xiao-gang,ZHAO Wei,YUAN Gui-bin,DAI Jing-min..Methods of data processing in multi-wavelength thermometry[J].哈尔滨工业大学学报（英文版）,2006,13(4):421-426,6.基金项目
Sponsored by the Nationa1 Natural Science Foundation of China( Grant No. 60377037 ), the Scientific Research Foundation of Harbin Institute of Technology (Grant No. HIT. 2002. 18 ) and the Spaceflight Support Foundation. （ Grant No. 60377037 ）
