Data-Derived Analysis and Inference for an Industrial Deethanizer-Reference-Cited by-同舟云学术

Data-Derived Analysis and Inference for an Industrial Deethanizer

Published:2012-10-10 Issue:42 Volume:51 Page:13732-13742
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Corona Francesco,Mulas Michela,Baratti Roberto¹,Romagnoli Jose A.²

Affiliation:

1. Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, University of Cagliari, Italy

2. Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana, United States

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie202854b

Reference21 articles.

1. Self-Organizing Maps

2. Data-driven Soft Sensors in the process industry

3. Alhoniemi, E.Unsupervised pattern recognition methods for exploratory analysis of industrial process data. Ph.D. thesis,Helsinki University of Technology,Finland, 2002.

4. Laine, S.Using visualization, variable selection and feature extraction to learn from industrial data. Ph.D. thesis,Helsinki University of Technology,Finland, 2003.

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