| Original Articles |
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Optimum Identifications of Spectral Emissivity and Temperature
for Multi-Wavelength Pyrometry |
| YANG Chun-Ling;DAI Jing-Min;HU Yan |
| Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001 |
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| Cite this article: |
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YANG Chun-Ling, DAI Jing-Min, HU Yan 2003 Chin. Phys. Lett. 20 1685-1688 |
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Abstract The main problem of the traditional radiation pyrometry is that fatal errors will be caused by the unknown or varying emissivity. Based on the combined neural networks (CNNE model), we propose an improved method for emissivity modeling. The model structure and the optimum algorithm are described. This method being used, the spectral emissivity and temperature can be fast computed accurately from the spectral radiation measured.
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07.20.Ka
07.57.Hm
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Published: 01 October 2003
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| PACS: |
07.20.Ka
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(High-temperature instrumentation; pyrometers)
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07.57.Hm
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(Infrared, submillimeter wave, microwave, and radiowave sources)
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