首页 > 论文 > 光谱学与光谱分析 > 33卷 > 11期(pp:2959-2963)

汽轮机油中含水量的近红外光谱研究

Near Infrared Spectroscopy Study on Water Content in Turbine Oil

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

汽轮机油在使用过程中会因为种种原因混入水分, 使油液理化性能发生变化, 影响系统的正常工作, 采取合理的措施有效地对汽轮机油中的含水量进行分析一直是汽轮机油的研究热点之一。 应用近红外光谱技术结合连续投影算法(SPA)实现了汽轮机油中含水量的分析, 通过对汽轮机油中含水量为0~0.156%的57个油样进行光谱扫描, 运用原始光谱、 一阶导数光谱和多项式最小二乘拟合求导算法Savitzky-Golay(SG)的不同预处理方法, 并应用SPA提取近红外光谱的有效波长, 以相关系数(r)和均方根误差(RMSE)作为模型评价指标对汽轮机油中含水量进行了研究。 结果表明原始光谱经过一阶导数与SG预处理后, 应用SPA提取近红外光谱的16个特征波长, 作为最小二乘支持向量机(LS-SVM)模型的输入变量, 建立了SPA- LS-SVM模型。 运用此模型对验证集样本进行预测的相关系数和均方根误差分别为0.975 9和2.656 8×10-3, 说明应用SPA结合近红外光谱技术来检测汽轮机油中含水量是可行的, 并能获得满意的预测精度, 为进一步应用光谱技术进行汽轮机油中其他污染物的检测提供了新的方法。

Abstract

Near infrared (NIR) spectroscopy combined with successive projections algorithm (SPA) was investigated for determination of water content in turbine oil. Through the 57 samples of different water content in turbine oil scanned applying near infrared (NIR) spectroscopy, with the water content in the turbine oil of 0~0.156%, different pretreatment methods such as the original spectra, first derivative spectra and differential polynomial least squares fitting algorithm Savitzky-Golay (SG), and successive projections algorithm (SPA) were applied for the extraction of effective wavelengths, the correlation coefficient (R) and root mean square error (RMSE) were used as the model evaluation indices, accordingly water content in turbine oil was investigated. The results indicated that the original spectra with different water content in turbine oil were pretreated by the performance of first derivative +SG pretreatments, then the selected effective wavelengths were used as the inputs of least square support vector machine (LS-SVM). A total of 16 variables selected by SPA were employed to construct the model of SPA and least square support vector machine (SPA-LS-SVM). There is 9 as The correlation coefficient was 0.975 9 and the root of mean square error of validation set was 2.655 8×10-3 using the model, and it is feasible to determine the water content in oil using near infrared spectroscopy and SPA-LS-SVM, and an excellent prediction precision was obtained. This study supplied a new and alternative approach to the further application of near infrared spectroscopy in on-line monitoring of contamination such as water content in oil.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:O657.3

DOI:10.3964/j.issn.1000-0593(2013)11-2959-05

基金项目:国家自然科学基金项目(51375516), 重庆市自然科学基金项目(cstc2011jjA90001), 重庆市教育科学技术研究项目(KJ120721), 重庆工商大学博士基金项目(1152001)和重庆高校优秀成果转化项目(KJZH11211)资助

收稿日期:2013-04-08

修改稿日期:2013-07-12

网络出版日期:--

作者单位    点击查看

陈彬:重庆工商大学废油资源化技术与装备教育部工程研究中心, 重庆400067
刘阁:重庆工商大学废油资源化技术与装备教育部工程研究中心, 重庆400067
张贤明:重庆工商大学废油资源化技术与装备教育部工程研究中心, 重庆400067

联系人作者:陈彬(hustchb@163.com)

备注:陈彬, 1972年生, 重庆工商大学废油资源化技术与装备教育部工程研究中心副教授

【1】Alinezhad K, Hosseini M, Movagarnejad K. Korean Journal of Chem. Eng., 2010, 27(1): 198.

【2】Liu Ge, Chen Bin, Zhang Xianming, et al. Petrochemical Technology, 2011, 40(6): 618.

【3】Liu Jianxue. Practical Near Infrared Spectroscopy. Beijing: Science Press, 2008. 12.

【4】Van de Voort F R, Sedman J, Yaylayan V, et al. Applied Spectroscopy, 2004, 58(2): 193.

【5】Van de Voort F R, Sedman J, Cocciardi R, et al. Organic Letters, 2007, 72(1): 289.

【6】Wang Ling, Li Zhixi, Yu Xiuzhu, et al. China Oils and Fats, 2010, 35(3): 74.

【7】Araújo M C U, Saldanha T C B, Galvao R K H, et al. Visani. An Integration of Modified Uninformative Variable Elimination and Wavelet Packet Transform for Variable Selection. RSC Pubishing, 2001, 57, 65.

【8】Suykens J A K, Van T Gestel, De J Brabanter, et al. Least Squares Support Vector Machines. World Scientific, Singapore, 2002.

【9】Balabin R M, Smirnov S V. Analytica Chimica Acta, 2011, 692(1-2): 63.

【10】Balabin R M, Safieva R Z, Lomakina E I. Analyst, 2011, 136(8): 1703.

引用该论文

CHEN Bin,LIU Ge,ZHANG Xian-ming. Near Infrared Spectroscopy Study on Water Content in Turbine Oil[J]. Spectroscopy and Spectral Analysis, 2013, 33(11): 2959-2963

陈彬,刘阁,张贤明. 汽轮机油中含水量的近红外光谱研究[J]. 光谱学与光谱分析, 2013, 33(11): 2959-2963

被引情况

【1】涂斌,宋志强,郑晓,曾路路,尹成,何东平,亓培实. 基于激光近红外的稻米油掺伪定性-定量分析. 光谱学与光谱分析, 2015, 35(6): 1539-1545

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF