A multi-band integrated virtual calibration- inversion method for open path FTIR spectrometry
Artykuł w czasopiśmie
MNiSW
20
Lista A
Status: | |
Autorzy: | Cięszczyk Sławomir |
Rok wydania: | 2013 |
Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Numer czasopisma: | 2 |
Wolumen/Tom: | 20 |
Strony: | 287 - 298 |
Impact Factor: | 0,609 |
Web of Science® Times Cited: | 10 |
Scopus® Cytowania: | 10 |
Bazy: | Web of Science | Scopus | Web of Science | Scopus |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | NIE |
Publikacja OA: | TAK |
Licencja: | |
Sposób udostępnienia: | Otwarte czasopismo |
Wersja tekstu: | Ostateczna wersja opublikowana |
Czas opublikowania: | W momencie opublikowania |
Abstrakty: | angielski |
This paper addresses problems arising from in situ measurement of gas content and temperature. Such measurements can be considered indirect. Transmittance or natura l radiation of a gas is measured directly. The latter method (spectral radiation measurement) is often called sp ectral remote sensing. Its primary uses are in astronomy and in the measurement of atmospheric composition . In industrial processes, in situ spectroscopic measurements in the plant are often made with an open path Fourier Transform Infrared (FTIR) spectrometer. The main difficulty in this approach is related to the calibration process, which often cannot be carried out in the manner used in the laboratory . Spectral information can be obtained from open path spectroscopic mea sur ements using mathematical model ing, and by solving the inverse problem. Determination of gas content based on spectral measurements requ ires comparison of the measured and model ed spectra. This paper proposes a method for the simultaneous use of multiple lines to determine the gas content. The integrated absorptions of many spectral lines permits calculation of the average band absorption. An inverse model based on neural networks is used to determine gas content based on mid-infrared spectra at variable te mperatures. |