Parameter selection guidelines for adaptive PCA-based control charts-Reference-Cited by-同舟云学术

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Parameter selection guidelines for adaptive PCA-based control charts

Published:2016-02-21 Issue:4 Volume:30 Page:163-176
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Schmitt Eric¹²,Rato Tiago³⁴,De Ketelaere Bart³,Reis Marco⁴^ORCID,Hubert Mia¹

Affiliation:

1. Department of Mathematics; KU Leuven; Celestijnenlaan 200B Leuven BE-3001 Belgium

2. Protix; Industriestraat 3 Dongen 5107 NC The Netherlands

3. Division of Mechatronics, Biostatistics and Sensors (MeBioS); KU Leuven; Kasteelpark Arenberg 30 Leuven BE-3001 Belgium

4. CIEPQPF - Department of Chemical Engineering; University of Coimbra; Rua Sílvio Lima, Pólo II Coimbra 3030-790 Portugal

Funder

Portuguese FCT

European Unions FEDER

KU Leuven

European Commission

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference28 articles.

1. Application of latent variable methods to process control and multivariate statistical process control in industry;Kourti;Internat. J. Adapt. Control Signal Process,2005

2. Overview of PCA-based statistical process monitoring methods for time-dependent, high-dimensional data;De Ketelaere;J. Qual. Technol.,2015

3. A systematic comparison of PCA-based statistical process monitoring methods for high-dimensional, time-dependent processes;Rato;AIChE Journal,2016

4. Statistical process monitoring of time-dependent data;De Ketelaere;Qual. Eng.,2016

5. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis;Russell;Chemometr. Intell. Lab.,2000

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