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 0191-2216Full text not available from this repository.
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.
|Divisions:||Div E > Manufacturing Systems|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||09 Dec 2016 18:18|
|Last Modified:||29 Apr 2017 23:56|