光学学报, 2018, 38 (11): 1130005, 网络出版: 2019-05-09
基于交替惩罚三线性分解的混合油液油种成分的检测 下载: 804次
Detection of Oil Species in Mixed Oil Based on Alternating Penalty Trilinear Decomposition
光谱学 油种检测 交替惩罚三线性分解 三维荧光光谱 spectroscopy oil species detection alternating penalty trilinear decomposition three-dimensional fluorescence spectrum
摘要
将三维荧光探测技术与交替惩罚三线性分解算法相结合,提出一种用于混合油液中油种成分检测的方法。首先利用FLS920型荧光光谱仪采集拟进行成分检测的混合油液(航空煤油和润滑油)在不同体积比配制条件下的20个样本的三维荧光光谱数据,利用Delaunay插值法对所获得的三维荧光光谱数据进行校正;然后利用核一致函数确定交替惩罚三线性分解算法解析三维荧光光谱数据时所需的组分数;最后利用均方根误差和相关系数矩阵,对交替惩罚三线性分解算法解析三维荧光光谱数据的效果进行评价。结果表明:在经交替惩罚三线性分解算法解析得到的均方根误差和相关系数矩阵中,非对角线上的元素值均满足所设阈值0.05和0.95的要求;在解决三维荧光光谱严重重叠的问题上,交替惩罚三线性分解算法优于平行因子算法,达到了对混合油液中油种成分快速检测的目的。
Abstract
Based on the combination of the three-dimensional fluorescence detection technique and the alternating penalty trilinear decomposition algorithm, a method is proposed to detect oil species in mixed oils. First, three-dimensional fluorescence spectra of 20 samples of the mixed oil (jet fuel and lube) with different volume ratios are obtained by the FLS920 fluorescence spectrometer, and calibrated by the Delaunay interpolation method. Then, the number of components required for the alternating penalty trilinear decomposition algorithm to analyze three-dimensional fluorescence spectra is determined by the core consistency function. Finally, the effectiveness of the alternating penalty trilinear decomposition algorithm in analyzing three-dimensional fluorescence spectra is evaluated by the root mean square error and the correlation coefficient matrix. The results show that both of the root mean square error and the non-diagonal elements in the correlation coefficient matrix meet the threshold requirements of 0.05 and 0.95, which are obtained by the alternating penalty trilinear decomposition algorithm. As for the solution of the serious overlapping problem of three-dimensional fluorescence spectra, the alternating penalty trilinear decomposition algorithm is superior to the parallel factor algorithm. The purpose of rapid detection of oil species in mixed oils can be achieved by the alternating penalty trilinear decomposition algorithm.
孔德明, 张春祥, 崔耀耀, 李雨蒙, 王书涛. 基于交替惩罚三线性分解的混合油液油种成分的检测[J]. 光学学报, 2018, 38(11): 1130005. Deming Kong, Chunxiang Zhang, Yaoyao Cui, Yumeng Li, Shutao Wang. Detection of Oil Species in Mixed Oil Based on Alternating Penalty Trilinear Decomposition[J]. Acta Optica Sinica, 2018, 38(11): 1130005.