Crude oil fast recognition by two-dimensional infrared correlation spectroscopy

被引：0
作者：
机构：
[1] Research Institute of Petroleum Processing, SINOPEC
来源：
Li, J. (lijy.ripp@sinopec.com) | 1600年 / Science Press卷 / 29期
关键词：
2D-IR correlation spectroscopy; Fast-evaluation; Pattern recognition; Petroleum;
D O I：
10.3969/j.issn.1001-8719.2013.04.016
中图分类号：
学科分类号：
摘要：
By collecting a few spectra at different temperatures, the 2D correlation spectra matrix was obtained by means of two-dimensional correlation processing named Hilbert matrix transformation. 2D correlation synchronous spectral was chosen as identification spectrum with two-dimensional matrix moving window correlation coefficient method instead of one-dimensional moving window correlation coefficient method, and the correlation coefficient threshold for identification was given. With this correlation coefficient method the mixed crude oil of low proportion could be accurately identified.
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页码：655 / 660
页数：5
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