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Information Journal Paper

Title

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

Pages

  111-118

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.

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    Cite

    APA: Copy

    REZKI, NAFISSA, KAZAR, OKBA, HAYET MOUSS, LEILA, KAHLOUL, LAID, & REZKI, DJAMIL. (2016). ON THE USE OF MULTI-AGENT SYSTEMS FOR THE MONITORING OF INDUSTRIAL SYSTEMS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 12(1), 111-118. SID. https://sid.ir/paper/310037/en

    Vancouver: Copy

    REZKI NAFISSA, KAZAR OKBA, HAYET MOUSS LEILA, KAHLOUL LAID, REZKI DJAMIL. ON THE USE OF MULTI-AGENT SYSTEMS FOR THE MONITORING OF INDUSTRIAL SYSTEMS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2016;12(1):111-118. Available from: https://sid.ir/paper/310037/en

    IEEE: Copy

    NAFISSA REZKI, OKBA KAZAR, LEILA HAYET MOUSS, LAID KAHLOUL, and DJAMIL REZKI, “ON THE USE OF MULTI-AGENT SYSTEMS FOR THE MONITORING OF INDUSTRIAL SYSTEMS,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 12, no. 1, pp. 111–118, 2016, [Online]. Available: https://sid.ir/paper/310037/en

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