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Methods of data processing in multi-wavelength thermometry

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【作者】 孙晓刚赵巍原桂彬戴景民

【Author】 SUN Xiao-gang~1, ZHAO Wei~2, YUAN Gui-bin~1, DAI Jing-min~1 (1. Dept. of Automation Measurement & Control, Harbin Institute of Technology, Harbin 150001, China; 2. Dept. of Automation Control, Harbin Engineering University, Harbin 150001, China)

【机构】 Dept. of Automation Measurement &Control Harbin Institute of TechnologyDept. of Automation Control Harbin Engineering UniversityHarbin 150001 China Harbin 150001 China Harbin 150001 China Harbin 150001 China

【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.

【基金】 Sponsored by the National Natural Science Foundation of China(Grant No. 60377037);the Scientific Research Foundation of Harbin Institute of Technol-ogy (Grant No. HIT. 2002. 18);the Spaceflight Support Foundation.
  • 【文献出处】 Journal of Harbin Institute of Technology ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2006年04期
  • 【分类号】TH811
  • 【被引频次】19
  • 【下载频次】73
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