A Hybrid ICA-SVM Approach for Determining the Quality Variables at Fault in a Multivariate Process
Joint Authors
Lu, Chi-Jie
Wang, Yu-Chiun
Shao, Yuehjen E.
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The monitoring of a multivariate process with the use of multivariate statistical process control (MSPC) charts has received considerable attention.
However, in practice, the use of MSPC chart typically encounters a difficulty.
This difficult involves which quality variable or which set of the quality variables is responsible for the generation of the signal.
This study proposes a hybrid scheme which is composed of independent component analysis (ICA) and support vector machine (SVM) to determine the fault quality variables when a step-change disturbance existed in a multivariate process.
The proposed hybrid ICA-SVM scheme initially applies ICA to the Hotelling T2 MSPC chart to generate independent components (ICs).
The hidden information of the fault quality variables can be identified in these ICs.
The ICs are then served as the input variables of the classifier SVM for performing the classification process.
The performance of various process designs is investigated and compared with the typical classification method.
Using the proposed approach, the fault quality variables for a multivariate process can be accurately and reliably determined.
American Psychological Association (APA)
Shao, Yuehjen E.& Lu, Chi-Jie& Wang, Yu-Chiun. 2012. A Hybrid ICA-SVM Approach for Determining the Quality Variables at Fault in a Multivariate Process. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029525
Modern Language Association (MLA)
Shao, Yuehjen E.…[et al.]. A Hybrid ICA-SVM Approach for Determining the Quality Variables at Fault in a Multivariate Process. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1029525
American Medical Association (AMA)
Shao, Yuehjen E.& Lu, Chi-Jie& Wang, Yu-Chiun. A Hybrid ICA-SVM Approach for Determining the Quality Variables at Fault in a Multivariate Process. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029525
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029525