The control of the complex and unstable industrial process by using statistical and automatic tools

Abstract : The general context of the work developed here is the control of complex industrial processes. These works offer new methods of improvement of statistical process control for non Gaussian distribution : the control chart with variable parameters and the theoretical control chart for the Rayleigh distribution. A model of integration of the APC (Automatic Process Control) and MSP technics is introduced, and then analyzed by using the models of two real process.
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Submitted on : Thursday, February 4, 2010 - 12:08:38 PM
Last modification on : Friday, May 10, 2019 - 12:14:02 PM
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  • HAL Id : tel-00453328, version 1

Citation

Alexei Silantiev. The control of the complex and unstable industrial process by using statistical and automatic tools. Mathematics [math]. Université d'Angers, 2008. English. ⟨tel-00453328⟩

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