Rapid Recognition of Common Machine Oils Based on Laser Induced Fluorescence
LIU Xiao-hua, CHEN Si-ying*, ZHANG Yin-chao, GUO Pan, CHEN He, MU Tao-tao
Photoelectric Imaging and Information Engineering Research Institute, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
Abstract：A rapid recognition method of common engine oils, based on the principle of laser induced fluorescence (LIF), is proposed in the present paper. A 355 nm ultraviolet laser is used to induce fluorescence emission of 9 kinds of common machine oil samples. In total 450 groups of fluorescence spectral data are collected, of which 360 groups of data are used for classification training and 90 sets of data for identification. It was found that the fluorescence spectra of engine oils are distinct from each other visibly. The rapid identification of 90 groups of data is realized by using clustering analysis combined with principal component analysis. The recognition rate could reach up to 97.8%. Experiment demonstrated that the fast identification of diverse engine oils could be realized by using LIF combined with multivariate analysis method.
