CUED Publications database

Robust approach to dynamic statistical process control

McFarlane, DC and Petersen, IR (1996) Robust approach to dynamic statistical process control. Proceedings of the IEEE Conference on Decision and Control, 3. pp. 2355-3592. ISSN 0191-2216

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Abstract

Statistical Process Control (SPC) technique are well established across a wide range of industries. In particular, the plotting of key steady state variables with their statistical limit against time (Shewart charting) is a common approach for monitoring the normality of production. This paper aims with extending Shewart charting techniques to the quality monitoring of variables driven by uncertain dynamic processes, which has particular application in the process industries where it is desirable to monitor process variables on-line as well as final product. The robust approach to dynamic SPC is based on previous work on guaranteed cost filtering for linear systems and is intended to provide a basis for both a wide application of SPC monitoring and also motivate unstructured fault detection.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:12
Last Modified: 26 Nov 2014 19:05
DOI: