摘要
研究了随机森林-相关向量机(RF-RVM)算法与ATR中红外光谱法相结合测定柴油机油样品的酸值的方法。选择了某型车辆发动机在不同情况下所用的柴油机油样品48个,并按GB/T 4945-2002标准所述方法对48个样品的酸值进行测定,测得其酸值在0.59～1.71mg(KOH)·g^(-1)之间。运用SG平滑结合一阶微分对原始光谱图进行预处理,采用RF算法和相关系数法选择了特征波数,并进行RVM建模分析。RF算法选取6个特征波数,不仅大大减少了输入变量数,还使RVM算法建模效果更佳。模型验证集的相关系数为0.922 5,验证集标准偏差为0.091 7。结果表明,RF-RVM算法与红外光谱法相结合能实现在用油酸值的快速而准确的测定。
Combination of ATR middle IRS with algorithm of random forests-relevance vector machine(RFRVM)was studied for determination of acid value of diesel engine oil.48 samples of oil for diesel of vehicles in use under various circumstances were selected in this work,and their acid values were pre-determined by the method given in the standard of GB/T 4945-2002,giving results in the range of 0.59-1.71 mg(KOH)·g^-1.The original IR spectra were preprocessed by SG smoothing in combination with first-order differential calculus,characteristic wave numbers were selected by applying RF algorithm and method of correlation coefficient,and modeling analysis was made by RVM.Six characteristic wave numbers were selected in RF algorithm,which not only making a remarkable reduction of number of input of variables,but also giving better modeling effect by the RVM algorithm.Correlation coefficient for the model verification set was found to be 0.922 5,with the standard deviation SEP of 0.091 7.It was shown that rapid and accurate determination of acid value of oil in use could be realized by the combination of IRS with algorithm of RF-RVM.
作者
王菊香
王凯
韩晓
WANG Juxiang;WANG Kai;HAN Xiao(Academy of Coast Defense Army,Naval Aeronautical University,Yantai 264001,China;Graduate Students'Brigade,Naval Aeronautical University,Yantai 264001,China;Military Representative Office of Navy in Tianjin 8357 Institute,Tianjin 300308,China)
出处
《理化检验（化学分册）》
CAS
CSCD
北大核心
2019年第1期26-30,共5页
Physical Testing and Chemical Analysis(Part B:Chemical Analysis)
