Abstract
AbstractTo improve the accuracy of the nonsource temperature calibration method, a new method based on a Gauss–Newton‐genetic algorithm (GN‐GA) for the nonsource calibration of a multispectral pyrometer is proposed. Based on Planck's law, a temperature–voltage power function model was established based on constraint optimization, and the temperature–voltage function relationship of each spectral channel was obtained using a GN‐GA algorithm. When the GN‐GA algorithm extrapolated at 1000°C with 3000°C as the starting point, theoretical simulation results showed that, compared with the derivative least squares method, when the wavelengths were 0.4, 0.6, 0.8, and 1.0 μm, the extrapolation accuracy increased by 54.35%, 63.96%, 51.99%, and 44.05%, respectively. The black‐body experiment results showed that this method was feasible in multispectral, pyrometer, extrapolation, temperature–calibration technology. Compared with the results obtained by the derivative least squares method, the accuracy was improved for a given extrapolation temperature region, and the extrapolation interval was longer under the same accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
