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Adaptive performance monitoring of a dynamic manufacturing process

Lookup NU author(s): Professor Elaine Martin, Emeritus Professor Julian Morris


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A recursive Exponentially Weighted Principal Component Analysis (EWPCA) methodology is proposed for the monitoring of dynamic manufacturing processes that are subject to both drift over time and operational changes that are part of normal process behaviour. The process representation, that is based on principal component analysis, is updated following the measurement of each new observation, with the weighting of each new observation being determined by current process variation. The number of principal components included in the model, and the control limits for the monitoring chart, are determined recursively. The methodology is demonstrated by application to an industrial sheet forming process.

Publication metadata

Author(s): Martin EB; Morris AJ; Lane S

Publication type: Article

Publication status: Published

Journal: Pulp and Paper Canada

Year: 2002

Volume: 103

Issue: 5

Pages: 34-37

ISSN (print): 0316-4004

ISSN (electronic):

Publisher: Business Information Group