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