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Identification of peanut oil based on feature layer spectral data fusion method

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成果类型:
会议论文
作者:
Wang Jie*;Yu Yaru;Wu Shuang;Zheng Xiao;He Dongping
通讯作者:
Wang Jie
作者机构:
[Yu Yaru; Wu Shuang; Wang Jie; Zheng Xiao] Wuhan Polytech Univ, Coll Mech Engn, Wuhan, Hubei, Peoples R China.
[He Dongping] Wuhan Polytech Univ, Food Sci Engn, Wuhan, Hubei, Peoples R China.
通讯机构:
[Wang Jie] W
Wuhan Polytech Univ, Coll Mech Engn, Wuhan, Hubei, Peoples R China.
语种:
中文
关键词:
Peanut oil;Raman spectroscopy;Near infrared spectroscopy;Data fusion;Partial least squares-linear discriminant analysis
期刊:
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017)
ISSN:
2352-5401
年:
2017
卷:
118
页码:
897-902
会议名称:
2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE)
会议论文集名称:
AER-Advances in Engineering Research
会议时间:
MAR 25-26, 2017
会议地点:
Beijing, PEOPLES R CHINA
会议主办单位:
[Wang Jie;Yu Yaru;Wu Shuang;Zheng Xiao] Wuhan Polytech Univ, Coll Mech Engn, Wuhan, Hubei, Peoples R China.^[He Dongping] Wuhan Polytech Univ, Food Sci Engn, Wuhan, Hubei, Peoples R China.
会议赞助商:
Inst Nat Sci & Adv Technol
主编:
Liu, H Wan, M
出版地:
29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
出版者:
ATLANTIS PRESS
ISBN:
978-94-6252-308-1
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
The purpose of this study is to conduct qualitative analysis on the adulteration in peanut oil by combining data fusion of Raman and near infrared (NIR) spectral characteristics with chemometrics methods. With laser Raman and NIR spectrometer, the spectra of 134 adulterated oil samples and 24 pure peanut oil were collected. The spectra data of Raman and NIR were preprocessed. Competitive adaptive reweighted sampling(CARS) were used to extract the characteristic wavelengths of the spectra data. Combining data fusion technique and partial least squares linear discriminant analysis (PLS-LDA) meth...

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