Fault Detection and Operation Mode Identification Based on Pattern Classification with Variable Selection-Reference-Cited by-同舟云学术

Fault Detection and Operation Mode Identification Based on Pattern Classification with Variable Selection

Published:2004-03-01 Issue:7 Volume:43 Page:1701-1710
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Chu Young-Hwan¹,Qin S. Joe¹,Han Chonghun¹

Affiliation:

1. Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Kyungbuk 790-784, Korea, Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, and School of Chemical Engineering, Seoul National University, 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/ie030705k

Reference28 articles.

1. The Exponentially Weighted Moving Average

2. Process analysis, monitoring and diagnosis, using multivariate projection methods

3. Multivariate statistical monitoring of process operating performance

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