|Table of Contents|

Application of Near Infrared Spectroscopy in Oil Quality Analysis(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2004年02期
Page:
1-4
Research Field:
Publishing date:

Info

Title:
Application of Near Infrared Spectroscopy in Oil Quality Analysis
Author(s):
YAO Cheng;  GAO Jun
School of Sciences, Nanjing University of Technology, Nanjing 210009, China
Keywords:
Near Infrared Spectrum;  Oil quality;  Qualitative Analysis;  Quantitative Analysis
PACS:
O657.33
DOI:
-
Abstract:
The article analyzed the working theory in the application of near infrared spectrum and briefly discussed several common technologies in qualitative and quantitative analysis of near infrared spectroscopy. Quantitative analysis methods include multivariate linear regression, principal component regression, partial least squares method and artificial neural network etc; qualitative analysis methods include NIR spectrum peak position identification, pattern recognition etc, and all these methods are compared. Moreover, the article introduced some achievements in application in gasoline, diesel oil quality analysis with near infrared spectroscopy. Near infrared spectroscopy methods are efficient and convenient for the application of analysis of oil quality, it has considerable applied value in industry.

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Last Update: 2013-04-29