Root cause analysis in multivariate statistical process monitoring: Integrating reconstruction-based multivariate contribution analysis with fuzzy-signed directed graphs

He, B, Chen, T and Yang, X (2014) Root cause analysis in multivariate statistical process monitoring: Integrating reconstruction-based multivariate contribution analysis with fuzzy-signed directed graphs COMPUTERS & CHEMICAL ENGINEERING, 64. pp. 167-177.

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Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :	Name Email ORCID He, B Chen, T Yang, X
Date :	7 May 2014
DOI :	10.1016/j.compchemeng.2014.02.014
Uncontrolled Keywords :	Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Chemical, Computer Science, Engineering, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, ENGINEERING, CHEMICAL, Fault diagnosis, Fuzzy logic, Multivariate statistical process monitoring, Reconstruction-based multivariate contributions, Signed directed graph, PRINCIPAL COMPONENT ANALYSIS, PROCESS FAULT-DETECTION, FISHER DISCRIMINANT-ANALYSIS, PART I, DIAGNOSIS, SYSTEMS, PCA, IDENTIFICATION, LOGIC, IMPROVEMENT
Related URLs :	Author
Additional Information :	NOTICE: this is the author’s version of a work that was accepted for publication in <COMPUTERS &amp; 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 COMPUTERS &amp; CHEMICAL ENGINEERING, [VOL64, (2014)] DOI10.1016/j.compchemeng.2014.02.014
Depositing User :	Symplectic Elements
Date Deposited :	10 Jul 2014 09:33
Last Modified :	31 Oct 2017 16:45
URI:	http://epubs.surrey.ac.uk/id/eprint/805567

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