Model-based and data-driven with multiscale sum of squares double EWMA control chart for fault detection in biological systems-Reference-Cited by-同舟云学术

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Model-based and data-driven with multiscale sum of squares double EWMA control chart for fault detection in biological systems

Published:2018-07-20 Issue:12 Volume:32 Page:e3068
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Mansouri Majdi¹^ORCID,Harkat Mohamed Faouzi²^ORCID,Teh Sin Yin³,Al-khazraji Ayman⁴,Nounou Hazem¹,Nounou Mohamed²

Affiliation:

1. Electrical and Computer Engineering Program; Texas A&M University at Qatar; Doha Qatar

2. Chemical Engineering Program; Texas A&M University at Qatar; Doha Qatar

3. School of Management; Universiti Sains Malaysia; Gelugor Malaysia

4. Electrical and Computer Engineering; Caledonian College of Engineering; Seeb Oman

Funder

NPRP

Qatar National Research Fund (a member of Qatar Foundation)

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.3068/fullpdf

Reference44 articles.

1. Optimum parameters for fault detection and diagnosis system of batch reaction using multiple neural networks;Tan;J Loss Prev Process Ind.,2012

2. Efficient monitoring of safety properties;Havelund;Int J Softw Tools Technol Trans.,2004

3. Identification-oriented robust finite memory fault detection filter design for networked industrial process with fading channel communication;Feng;Neurocomputing,2017

4. Fault detection in semi-batch reactor using the EKF and statistical method;Benkouider;J Loss Prev Process Ind.,2009

5. Statistical process control procedures for correlated observations;Harris;Can J Chem Eng.,1991

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