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