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Characterization of Motor Oil by Laser-Induced Fluorescence
Abstract:A new laser-induced fluorescence method is presented to classify brands of motor oil. A 266-nanometer radiation was employed to collect sixty sets of fluorescence spectra for each brand. Cluster analysis and support vector machine were employed to distinguish motor oils with principal component analysis, which was applied to extract spectral characteristics. The recognition accuracy was up to 100 percent. The results demonstrate that laser-induced fluorescence offers rapid response, high recognition, and high sensitivity for the classification of motor oils.
Keywords:Cluster analysis  Laser-induced fluorescence  Motor oils  Principal component analysis  Support vector machine
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