A data processing algorithm for multi-wavelength pyrometry-which does not need to assume the emissivity model in advance
A data processing algorithm for multi-wavelength pyrometry-which does not need to assume the emissivity model in advance
复制标题
一种无需预先假设发射率模型的多波长测温数据处理算法
DOI：
10.1016/j.measurement.2014.11.019
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发表时间：
2015-05-01
期刊：
影响因子：
5.6
通讯作者：
Sun, Weimin
中科院分区：
文献类型：
--
作者：
Xing, Jian;Cui, Shuanglong;Sun, Weimin
研究了多波长高温测量中辐射温度数据的处理问题。提出了基于迭代算法反演大气真温度和光谱发射率的可行性和可靠性。这种算法不需要使用特定的发射率分布与波长来找出所需的量，而是假设发射率对温度的依赖性，并使用不同温度下的数据。仿真和实验结果表明，该算法可以得到一个相当合理的真实温度和光谱发射率分布的代表。该方法简单，适用于在线测量物体的真温和光谱发射率。(C)2015由Elsevier Ltd.出版
The problem of processing radiant temperature data in order to find true temperature and spectral emissivity in multi-wavelength pyrometry is studied using continuously measured data. The feasibility and reliability of the retrieval of true temperature and spectral emissivity based on an iteration algorithm is proposed. Such algorithm does not need to use a specific emissivity distribution vs. wavelength to find out the required quantities, but assumes a dependence of emissivity on temperature and uses data at different temperatures. Simulation and experimental results indicate that a fairly reasonable representation of true temperature and spectral emissivity distribution can be obtained using the proposed algorithm. The method has the advantages of simplicity, and suitability for on-line true temperature and spectral emissivity measurement. (C) 2015 Published by Elsevier Ltd.