An adaptive chart for multivariate process monitoring and diagnosis

Yongzhong Zhu and Wei Jiang

IISE Transactions, 2009, vol. 41, issue 11, 1007-1018

Abstract: Hotelling's T2 chart is one of the most popular multivariate control charts for monitoring multiple variables simultaneously. The identification of response variables from T2 charts is an area that is currently receiving considerable attention. This paper proposes an adaptive T2 chart that combines process monitoring and diagnosis in a unified manner. The proposed procedure has a close relationship with the U2 chart, but it is data oriented and does not have a priori knowledge of the potential shifts space. It can adaptively capture shift information from the sample data to construct the U2 test statistic and is shown to be very competitive with other alternative charts for multivariate statistical process control in terms of both mean monitoring and fault diagnosis.

Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/07408170902942675 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:uiiexx:v:41:y:2009:i:11:p:1007-1018

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uiie20

DOI: 10.1080/07408170902942675

Access Statistics for this article

IISE Transactions is currently edited by Jianjun Shi

More articles in IISE Transactions from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().