摘要
研制成功一种新型的与发射率无关的多光谱辐射高温计。采用神经网络技术、棱镜分光技术,克服了以往需要假设发射率与波长函数关系以及光导纤维分光、干涉滤光片限定工作波长的缺点,可用于自动识别大多数工程材料的真温及光谱发射率。
A novel multi-spectral radiation pyrometer that is independent of the emissivity has been developed. The use of neural network and prismatic decomposition techniques can overcome the faults in assumption of the relation between emissivity and wavelength function, light-wave guide fiber decomposition and limiting operating wavelength with interference filter. This unit can be applied to recognizing the true temperature and spectral emissivity of most of the engineering materials.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2002年第2期31-34,共4页
Opto-Electronic Engineering
基金
国家自然科学基金(69977010)资助项目
国家博士后科学基金(205040307)资助项目
