Publication detail
Classification of plastics using LIBS and Raman data fusion
HOLUB, D. POŘÍZKA, P. SAMEK, O. KAISER, J.
English title
Classification of plastics using LIBS and Raman data fusion
Type
presentation, poster
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
LIBS, Raman spectroscopy, Principal Component Analysis, SIMCA, data fusion
Released
02.12.2020