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- W4308515903 abstract "• a direct data processing method based on the penalty function, which does not require an assumption for the emissivity, is proposed for a multi-wavelength pyrometer. • The simulation results for 6 kinds of materials at 1800K show that the absolute error of the proposed method is less than 15K even in the case of an emissivity fluctuation distribution, while the absolute error of the LS method based on the log linear assumption is more than 50K, and the biggest absolute error is greater than 200K. • The verification experiment also proves the reliability of the proposed method. The method is suitable for on-line measurements of high temperatures. A data processing algorithm based on the inner penalty function for constrained optimization is presented for a multi-wavelength pyrometer. It can directly obtain the true temperature and spectral emissivity simultaneously without requiring for the spectral emissivity model beforehand. The simulation results show that the algorithm is suitable for continuous thermal radiation materials, and the absolute error is less than 15K when the true temperature is 1800K. The experimental results also verify the reliability of the algorithm. This data processing algorithm resolves the true temperature measurement by thermal radiation problem which was due to the unknown emissivity model." @default.
- W4308515903 created "2022-11-12" @default.
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- W4308515903 date "2022-12-01" @default.
- W4308515903 modified "2023-10-06" @default.
- W4308515903 title "True temperature inversion for a multi-spectral pyrometer based on the inner penalty function constrained optimization algorithm" @default.
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- W4308515903 doi "https://doi.org/10.1016/j.infrared.2022.104453" @default.
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