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- Title
An assessment of the kernel-distance-based multivariate control chart through an industrial application.
- Authors
Gani, Walid; Taleb, Hassen; Limam, Mohamed
- Abstract
Traditional multivariate quality control charts assume that quality characteristics follow a multivariate normal distribution. However, in many industrial applications the process distribution is not known, implying the need to construct a flexible control chart appropriate for real applications. A promising approach is to use support vector machines in statistical process control. This paper focuses on the application of the 'kernel-distance-based multivariate control chart', also known as the 'k-chart', to a real industrial process, and its assessment by comparing it to Hotelling's T control chart, based on the number of out-of-control observations and on the Average Run Length. The industrial application showed that the k-chart is sensitive to small shifts in mean vector and outperforms the T control chart in terms of Average Run Length. Copyright © 2010 John Wiley & Sons, Ltd.
- Subjects
QUALITY control; MULTIVARIATE analysis; ANALYSIS of variance; KERNEL functions; SUPPORT vector machines
- Publication
Quality & Reliability Engineering International, 2011, Vol 27, Issue 4, p391
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.1117