Detail publikace
Classification of plastics using LIBS and Raman data fusion
HOLUB, D. POŘÍZKA, P. SAMEK, O. KAISER, J.
Anglický název
Classification of plastics using LIBS and Raman data fusion
Typ
prezentace, poster
Jazyk
en
Originální abstrakt
LIBS and Raman measurements were done on 12 different plastic type samples. Principal Component Analysis (PCA) was done to classify different plastic types. Neither of the two methods was able to classify all samples on its own. Data fusion was done by connecting LIBS and Raman spectra. This led to impovement in classification, which was shown by PCA automatic clustering and SIMCA algorithm.
Anglický abstrakt
LIBS and Raman measurements were done on 12 different plastic type samples. Principal Component Analysis (PCA) was done to classify different plastic types. Neither of the two methods was able to classify all samples on its own. Data fusion was done by connecting LIBS and Raman spectra. This led to impovement in classification, which was shown by PCA automatic clustering and SIMCA algorithm.
Klíčová slova anglicky
LIBS, Raman spectroscopy, Principal Component Analysis, SIMCA, data fusion
Vydáno
02.12.2020