Two-Stage Variable Selection Using the Wavelet Transform of Batch Trajectories for Data Interpretation and Construction of Parsimonious Quality-Estimation Models-Reference-Cited by-同舟云学术

Two-Stage Variable Selection Using the Wavelet Transform of Batch Trajectories for Data Interpretation and Construction of Parsimonious Quality-Estimation Models

Published:2007-10-01 Issue:22 Volume:46 Page:7188-7197
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chu Young-Hwan¹,Kim Daeyoun¹,Han Chonghun¹,Yoon En-Sup¹

Affiliation:

1. Samsung Petrochemical, Bugok-Dong 500, Nam-ku, Ulsan 680-110, Korea, and School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, San 56-1, Shillim-dong, Kwanak-gu, Seoul 151-742, Korea

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0614475

Reference26 articles.

1. Statistical process monitoring based on dissimilarity of process data

2. Multi-way partial least squares in monitoring batch processes

3. Multi-way principal components-and PLS-analysis

4. Improved variable selection procedure for multivariate linear regression

5. Selection of variables for interpreting multivariate gas sensor data

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