Development of a neural multi-spectral radiation pyrometer

Xiao Gang Sun; Jing Min Dai; Da Cheng Cong; Zai Xiang Chu

Development of a neural multi-spectral radiation pyrometer

Xiao Gang Sun^*
, Jing Min Dai
, Da Cheng Cong
, Zai Xiang Chu

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	31-34
Number of pages	4
Journal	Guangdian Gongcheng/Opto-Electronic Engineering
Volume	29
Issue number	2
State	Published - Apr 2002

Keywords

Emissivity
Multispectral thermometry
Neural networks

Cite this

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title = "Development of a neural multi-spectral radiation pyrometer",

abstract = "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.",

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AU - Sun, Xiao Gang

AU - Dai, Jing Min

AU - Cong, Da Cheng

AU - Chu, Zai Xiang

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Y1 - 2002/4

N2 - 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.

AB - 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.

KW - Emissivity

KW - Multispectral thermometry

KW - Neural networks

UR - https://www.scopus.com/pages/publications/0036553329

M3 - 文章

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SN - 1003-501X

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JF - Guangdian Gongcheng/Opto-Electronic Engineering

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ER -

Development of a neural multi-spectral radiation pyrometer

Abstract

Keywords

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