A novel approach for multivariate process monitoring using several intelligences Online publication date: Wed, 07-Jun-2017
by Nafissa Rezki; Okba Kazar; Leila Hayet Mouss; Laid Kahloul; Djamil Rezki
International Journal of Industrial and Systems Engineering (IJISE), Vol. 26, No. 3, 2017
Abstract: This paper presents a multi-agent system for multivariate process monitoring. The proposed multi-agent system combines several intelligences which are: multivariate control charts, neural networks, Bayesian networks, and expert systems. This system aims to realise a complete control of complex industrial process. In order to demonstrate the efficiency of the proposed multi-agent system, it has been applied and evaluated in the monitoring of the complex process Tennessee Eastman process (TEP).
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