采用红外光谱和化学计量学结合方法测定汽轮机油中水分含量
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  • 英文篇名:Determination of Water Content in Steam Turbine Oil by Infrared Spectroscopy Coupling with Chemometrics
  • 作者:宋庆媛 ; 张景清 ; 陈旭鑫 ; 杨永 ; 姚志湘 ; 张锴
  • 英文作者:SONG Qing-yuan;ZHANG Jing-qing;CHEN Xu-xin;YANG Yong;YAO Zhi-xiang;ZHANG Kai;Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation,North China University of Electric Power;College of Biological and Chemical Engineering,Guangxi University of Science and Technology;Scientific Efficient Process Analysis Technology (Beijing) Co., Ltd.;
  • 关键词:汽轮机油 ; 水分含量 ; ATR-FTIR ; 偏最小二乘法
  • 英文关键词:turbine oil;;water content;;ATR-FTIR;;partial least square method
  • 中文刊名:QLJV
  • 英文刊名:Turbine Technology
  • 机构:华北电力大学热电生产过程污染物监测与控制北京市重点实验室;广西科技大学生物与化学工程学院;西派特(北京)科技有限公司;
  • 出版日期:2019-04-25
  • 出版单位:汽轮机技术
  • 年:2019
  • 期:v.61;No.239
  • 基金:国家自然科学基金委与山西煤基低碳联合基金重点项目(U1610254);; 中央高校基本科研业务费专项(2018ZD03)
  • 语种:中文;
  • 页:QLJV201902015
  • 页数:4
  • CN:02
  • ISSN:23-1251/TH
  • 分类号:62-65
摘要
汽轮机油水分含量是评价油品的一项重要指标,可在判断其质量的同时间接反映机组的运行状态和预测故障,但传统的检测手段存在一定的滞后性。为了快速测定汽轮机油水分含量在25mg/L~125mg/L的样品,将衰减全反射-傅里叶变换红外光谱法(ATR-FTIR)与化学计量学相结合,基于偏最小二乘法建立模型,旨在为进一步实现汽轮机油质量的实时监测提供参考。结果表明,样品光谱经过二阶导数处理后提高了模型的稳健性和预测能力,校正集预测值和真实值的相关系数能达到0.997,预测集相对偏差小于10%,表明该模型可以用来预测汽轮机油水分含量。
        Water content is of importance to evaluate the quality of steam turbine oil, which also can be used to predict indirectly the operational state and fault diagnosis of the turbine generators. However, the hysteresis phenomenon is often appeared when the traditional methods are employed to determinate the water content in the oil. A new method is developed by combining Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy(ATR-FTIR) and chemometrics in this study, which can quickly determine the water content in turbine oil ranging from 25 mg/L to 125 mg/L. A model based on partial least squares is established to provide reference for further real-time monitoring of turbine oil quality. The results show that the sample spectra are improved by the second derivative treatment, which strengthens the robustness and predictability of the model. The correlation coefficient between the predicted and true values can reach 0.997, and the relative deviation of the prediction set is less than 10%. The above findings indicate that the model suggested in this paper can be used to predict the water content in turbine oil.
引文
[1] 王辉,吴祖望. 汽轮机油的发展趋势[J]. 润滑油,2005,20(1):12-16.
    [2] 李烨峰. 运行汽轮机油乳化和污染问题研究[J]. 热力发电,2000,(6):50-53.
    [3] 张雅丽,杜自力. 汽轮机润滑油水分超标的原因分析及处理[J]. 热力发电,2006,35(9):55-56.
    [4] 郭洪波,张志强,于达仁,等. 透平油微水含量在线检测方法研究综述[J]. 汽轮机技术,2001,43(2):65-67.
    [5] Sherazi S T H,Kandhro A,Mahesar S A,et al. Application of Transmission FT-IR Spectroscopy for the Trans,fat Determination in the Industrially Processed Edible oils[J]. Food Chemistry,2009,114(1):323-327.
    [6] 全国电气化学标准化技术委员会. GB/T 7600-2014 运行中变压器油和汽轮机油水分含量测定法(库仑法) [S].北京:中国标准出版社,2014.1-3.
    [7] 曾安,陈仓,陈闽杰. 红外光谱法检测润滑油中水分含量的研究[J]. 润滑与密封,2009,34(9):102-104.
    [8] 杨琨,周新聪,王超,等. 中红外光谱应用于船用机械油液含水量定量测量的研究[J]. 光谱学与光谱分析,2012,32(5):1234-1237.
    [9] Borin A,Poppi R J. Application of Mid Infrared Spectroscopy and iPLS for the Quantification of Contaminants in lubricating oil[J]. Vibrational Spectroscopy,2005,37(1):27-32.
    [10] 全国电气化学标准化技术委员会.GB/T 7596-2017.电厂运行中矿物涡轮机油质量[S]. 北京:中国标准出版社,2005.1-2.
    [11] 全国电气化学标准化技术委员会. GB/T 14541-2017.电厂用矿物涡轮机油维护管理导则[S]. 北京:中国标准出版社,2014.3-4.
    [12] 徐琳,王乃岩,霸书红,等. 傅里叶变换衰减全反射红外光谱法的应用与进展[J]. 光谱学与光谱分析,2004,24(3):317-319.
    [13] 田高友,褚小立,易如娟,等.润滑油中红外光谱分析技术[M]. 北京: 化学工业出版社,2014.
    [14] 褚小立. 化学计量学方法与分子光谱分析技术[M]. 北京:化学工业出版社,2011.

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