基于SPCA降维的轻质燃料油分类拉曼光谱鉴别方法  

RAMAN SPECTRUM IDENTIFICATION METHOD FOR CLASSIFICATION OF LIGHT FUEL BASED ON SPARSE PRINCIPAL COMPONENT ANALYSIS

作　　者：董晓炜 杨继平 杨志猛 晏刚 夏梓航 Dong Xiaowei;Yang Jiping;Yang Zhimeng;Yan Gang;Xia Zihang(Chongqing Ceprei Industrial Technology Research Instutute Co.,Ltd.,Chongqing 401332)

机构地区：[1]重庆赛宝工业技术研究院有限公司,重庆401332

出　　处：《石油炼制与化工》2022年第12期106-113,共8页Petroleum Processing and Petrochemicals

摘　　要：为实现轻质燃料油分类快速检测,采集不同产地的0号车用柴油、3号喷气燃料、92号汽油、95号汽油、98号汽油共5种500个轻质燃料油样本的拉曼光谱;依次利用归一化算子、Savitzky-Golay平滑卷积算子(SG)、自适应迭代惩罚最小二乘算子(airPLS)对原始拉曼光谱进行预处理;采用稀疏主成分分析法(SPCA)对预处理之后的特征成分变量进行降维,进而采用不同方法构建分类模型,对轻质燃料油样本进行分类。结果表明:对拉曼光谱预处理能够有效消除背景噪声干扰,有助于提升分类模型的准确率;采用稀疏主成分分析-支持向量机(SPCA-SVM)方法构建的分类模型对轻质燃料油分类鉴别效果最好;将以SPCA-SVM方法构建分类模型区分95号汽油和92号汽油与95号汽油的混合汽油,当混合汽油中92号汽油体积分数在15%以上时,取得了良好的识别分类效果。In order to achieve rapid on-site detection of common light fuel classification,five types of Raman spectra of 92#gasoline,95#gasoline,98#gasoline,0#diesel and 3#jet fuel from different origins were collected.Normalization operator,Savitzky-Golay smooth convolution operator(SG)and adaptive iterative penalized least squares operator(airPLS)were successively used to preprocess the original spectrum.Then the sparse principal component analysis(SPCA)is applied to reduce the dimension of the preprocessed spectrum.Finally,the classification model is constructed by different methods to classify light fuel samples.The analysis results indicate that:the preprocessing of Raman spectrum can effectively eliminate the background noise interference and improve the accuracy of the classification model;the classification model constructed by sparse principal component analysis-support vector machine(SPCA-SVM)method has the best classification and identification effect on light fuel;the SPCA-SVM method is used to construct the classification model for distinguishing 95# gasoline from 92# gasoline+95#gasoline blended gasoline,when the volume fraction of 92# gasoline in blended gasoline is more than 15%,good recognition and classification results are achieved.

关 键 词：拉曼光谱 光谱预处理 定性分析 稀疏主成分分析 支持向量机 

分 类 号：TE626.2[石油与天然气工程—油气加工工程] O657.37[理学—分析化学]