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On-line multivariate statistical monitoring of batch processes using Gaussian mixture model

Chen, T and Zhang, J (2010) On-line multivariate statistical monitoring of batch processes using Gaussian mixture model COMPUTERS & CHEMICAL ENGINEERING, 34 (4). pp. 500-507.

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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Chen, T
Zhang, J
Date : 5 April 2010
DOI : 10.1016/j.compchemeng.2009.08.007
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Chemical, Computer Science, Engineering, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, ENGINEERING, CHEMICAL, Batch processes, Fault detection and diagnosis, Mixture model, Principal component analysis, Probability density estimation, Multivariate statistical process monitoring, PRINCIPAL COMPONENT ANALYSIS, DENSITY-ESTIMATION, FAULT-DETECTION, DYNAMIC PCA, IDENTIFICATION, CHARTS
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Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Computers and Chemical Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in COMPUT CHEM ENG, 34(4), April 2010, DOI 10.1016/j.compchemeng.2009.08.007.
Depositing User : Symplectic Elements
Date Deposited : 11 Jun 2012 13:43
Last Modified : 31 Oct 2017 14:36

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