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Paper Information

Journal:   JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL   MARCH 2016 , Volume 12 , Number 1; Page(s) 111 To 118.
 
Paper: 

ON THE USE OF MULTI-AGENT SYSTEMS FOR THE MONITORING OF INDUSTRIAL SYSTEMS

 
 
Author(s):  REZKI NAFISSA*, KAZAR OKBA, HAYET MOUSS LEILA, KAHLOUL LAID, REZKI DJAMIL
 
* LAP LABORATORY, INDUSTRIAL ENGINEERING DEPARTMENT, UNIVERSITY OF BATNA, 05000 BATNA, ALGERIA
 
Abstract: 

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.

 
Keyword(s): MULTIVARIATE PROCESS, HOTELLING CONTROL CHART, MULTI-AGENT SYSTEM, BAYESIAN NETWORK, NEURAL NETWORK
 
References: 
 
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