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CHEN Bin, LIU Ge. Analysis on Near Infrared Spectroscopy of Water Content in Oil Using T-S Fuzzy Identifying Model[J]. Acta Photonica Sinica(光子学报), 2014，43（2）：（0230001-1）——0230001-5

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Accession number:  20141217496733

  Title:  Analysis on near infrared spectroscopy of water content in oil using T-S fuzzy identifying model
  Authors:  Chen, Bin1 Email author hustchb@163.com; Liu, Ge1
  Author affiliation:  1 Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Ministry of Education, Chongqing Technology and Business University, Chongqing 400067, China
  Corresponding author:  Chen, B. (hustchb@163.com)
  Source title:  Guangzi Xuebao/Acta Photonica Sinica
  Abbreviated source title:  Guangzi Xuebao
  Volume:  43
  Issue:  2
  Issue date:  February 2014
  Publication year:  2014
  Article number:  0230001
  Language:  Chinese
  ISSN:  10044213
  CODEN:  GUXUED
  Document type:  Journal article (JA)
  Publisher:  Chinese Optical Society
  Abstract:  The model of near infrared spectroscopy of water content in oil is complex, nonlinear, and difficult to be specified with mathematical methods. Uninformative variables elimination was applied to the extraction of effective wavelengths, and fuzzy C-means clustering algorithm was applied to obtain the input space location and the clustering center. By identifying the consequent parameters with recursive least-squares method, Takagi-Sugeno, a fuzzy model of near infrared spectroscopy of water content in oil, was established. This identification algorithm was compared with Partial Least Squares model and tested by experimental data. The results indicate: the Takagi-Sugeno model, constructed by a total of 34 variables selected by uninformative variables elimination, can accurately reflect the relation between near infrared spectral data of oil and moisture content; the correlation coefficient the model predicted for the samples from validation set is 0.9646 and the root of mean square error is 1.5312×10-4, which are satisfactory. The experimental results verify that it is feasible to detect the water content in oil by means of near infrared spectroscopy, which also offers a new alternative approach for the on-line monitoring of other contamination content in oil.
  Number of references:  15
  Main heading:  Near infrared spectroscopy
  Controlled terms:  Algorithms  -  Fuzzy clustering  -  Least squares approximations  -  Modal analysis
  Uncontrolled terms:  Correlation coefficient  -  Fuzzy c-means clustering algorithms  -  Identification algorithms  -  Partial least squares models  -  Recursive least-squares method  -  Takagi Sugeno fuzzy models  -  Takagi-Sugeno modeling  -  Uninformative variables elimination
  Classification code:  723 Computer Software, Data Handling and Applications -  801 Chemistry -  921 Mathematics -  921.6 Numerical Methods
  DOI:  10.3788/gzxb20144302.0230001
  Database:  Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.

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