![](/images/graphics-bg.png)
Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application
Joint Authors
Peng, Kai-xiang
Zhang, Kai
Li, Gang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Projection to latent structures (PLS) model has been widely used in quality-related process monitoring, as it can establish a mapping relationship between process variables and quality index variables.
To enhance the adaptivity of PLS, kernel PLS (KPLS) as an advanced version has been proposed for nonlinear processes.
In this paper, we discuss a new total kernel PLS (T-KPLS) for nonlinear quality-related process monitoring.
The new model divides the input spaces into four parts instead of two parts in KPLS, where an individual subspace is responsible in predicting quality output, and two parts are utilized for monitoring the quality-related variations.
In addition, fault detection policy is developed based on the T-KPLS model, which is more well suited for nonlinear quality-related process monitoring.
In the case study, a nonlinear numerical case, the typical Tennessee Eastman Process (TEP) and a real industrial hot strip mill process (HSMP) are employed to access the utility of the present scheme.
American Psychological Association (APA)
Peng, Kai-xiang& Zhang, Kai& Li, Gang. 2013. Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032098
Modern Language Association (MLA)
Peng, Kai-xiang…[et al.]. Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application. Mathematical Problems in Engineering No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1032098
American Medical Association (AMA)
Peng, Kai-xiang& Zhang, Kai& Li, Gang. Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032098