基于主成分回归的温度分布反演研究

多谱辐射测温是一种非接触温度测量方法，目前常用的多谱辐射测温只能反演出一个近似温度值，而无法给出实际的温度分布。针对此问题，基于普朗克定律，采用主成分回归算法，以强激光毁伤靶材温度测量为例，在脉冲能量为34.2 J的激光入射条件下，从热辐射谱中反演出近似温度值为2 700 K，拟合相对偏差为0.5%，当温度分布范围为2 600～2 800 K时，拟合相对偏差减小为0.13%，减小了温度反演偏差。首次给出了基于主成分回归方法的温度分布反演，提高了非接触式温度测量的表征精度。

Study on Inversion of Temperature Distribution Based on Principal Components Analysis

Multispectral radiation thermometry(MRT) is one of the methods for non-contact temperature measurement. The present MRT could invert only one approximate temperature value, and the actual temperature distribution could not be given. In the present article principal component analysis(PCA) was applied to solve the problem based on Planck’s laws. For example, in the laser damage target experiments, input laser pulse energy is 34.2 J, the inversion temperature value is 2 700 K from the thermal radiation spectrum. The fitting relative deviation is 0.5%, and when the temperature distribution is from 2 600 to 2 800 K, the fitting relative deviation is reduced to 0.13%. Temperature distribution inversion was shown based on PCA for the first time, and the measurement accuracy of non-contact temperature was improved.