On the use of multi-agent systems for the monitoring of industrial systems

Journal of Industrial Engineering International

دوره 12، شماره 1، خرداد 2016   

نویسندگان

Nafissa Rezki^{* 1}؛ Okba Kazar²؛ Leila Hayet Mouss¹؛ Laid Kahloul²؛ Djamil Rezki¹

¹LAP: Laboratory, Industrial Engineering Department, University of Batna, 05000, Batna, Algeria

²LINFI Laboratory, Computer Science Department, University of Biskra, 07000, Biskra, Algeria

چکیده

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences such as: multivariate control charts, neural networks, Bayesian networks and expert systems has became a necessity. The proposed system is evaluated in the monitoring of the complex process Tennessee Eastman process.

کلیدواژه‌ها

Multivariate process . Hotelling T2 control chart . Multi؛ agent system . Bayesian network . Neural network