CAJ | 학술논문

基于激光诱导荧光光谱原理，提出一种常见机油的快速识别方法。利用激光器发射波长为355 nm的紫外激光，诱导九种常见机油样品发射荧光，共采集450组荧光光谱数据，其中360组数据用于分类训练，90组数据用于识别。分析发现不同机油的荧光光谱特征有明显差异，利用主成分分析结合聚类分析法实现了对90组待识别光谱数据的快速识别，识别率可达97．8％。实验证明，激光诱导荧光光谱结合多元分析可以实现不同机油的快速识别与检测。
기우격광유도형광광보원리，제출일충상견궤유적쾌속식별방법。이용격광기발사파장위355 nm적자외격광，유도구충상견궤유양품발사형광，공채집450조형광광보수거，기중360조수거용우분류훈련，90조수거용우식별。분석발현불동궤유적형광광보특정유명현차이，이용주성분분석결합취류분석법실현료대90조대식별광보수거적쾌속식별，식별솔가체97．8％。실험증명，격광유도형광광보결합다원분석가이실현불동궤유적쾌속식별여검측。
A rapid recognition method of common engine oils,based on the principle of laser induced fluorescence (LIF),is pro-posed 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 a-nalysis.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.