Moving window correlation coefficient differences partial least squares (MWCC-DPLS) quantitative calibration method based on spectral differences between calibration samples: Application to the fast determination of gasoline octane number with near-infrared spectroscopy-Reference-Cited by-同舟云学术

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Moving window correlation coefficient differences partial least squares (MWCC-DPLS) quantitative calibration method based on spectral differences between calibration samples: Application to the fast determination of gasoline octane number with near-infrared spectroscopy

Published:2023-02 Issue: Volume:240 Page:107583
ISSN:0378-3820
Container-title:Fuel Processing Technology
language:en
Short-container-title:Fuel Processing Technology

Author:

Wang Hai-Peng,Chu Xiao-Li,Chen Pu,Li Jing-Yan,Liu Dan,Xu Yu-Peng

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference43 articles.

1. OMEGA: an improved gasoline blending system for Texaco;DeWitt;Interfaces,1989

2. Model-based real-time optimization of automotive gasoline blending operations;Singh;J. Process Control,2000

3. Octane number prediction for gasoline blends;Pasadakis;Fuel Process. Technol.,2006

4. Near-infrared spectroscopy for the concurrent quality prediction and status monitoring of gasoline blending;He;Control. Eng. Pract.,2020

5. Rapid determination of physical and chemical parameters of reformed gasoline by near-infrared (NIR) spectroscopy combined with the Monte Carlo virtual spectrum identification method;Li;Energy Fuel,2018

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