Title: Dynamic control for safety system multi-agent system with case-based reasoning

Authors: Nassima Aissani; Islam Hadj Mohamed Guetarni; Soraya Zebirate

Addresses: Laboratoire de l'Ingénierie de la sécurité des procèdes et d'environnement, Institute of Maintenance and Industrial Safety, Université Mohamed Ben Ahmed Oran 2, Bir El Djir, Algeria ' Laboratoire de l'Ingénierie de la sécurité des procèdes et d'environnement, Institute of Maintenance and Industrial Safety, Université Mohamed Ben Ahmed Oran 2, Bir El Djir, Algeria ' Laboratoire de l'Ingénierie de la sécurité des procèdes et d'environnement, Institute of Maintenance and Industrial Safety, Université Mohamed Ben Ahmed Oran 2, Bir El Djir, Algeria

Abstract: The increasing complexity and size of electronic systems in industry, combined with growing market demand, requires industries to implement an efficient safety system to preserve equipment viability, environment protection and especially human life protection. The aim of this paper is to present a dynamic safety system based on a multi-agent paradigm using case-based reasoning to identify and react to risks. To develop the base of cases, an exhaustive risk analysis was carried out, giving rise to risk ontology and their precursors. Then, a model for identifying the similarities between precursors was developed. Case-based reasoning is very reactive, and with the presented model of similarity, the developed security system was very reactive against the risks that the system was experiencing during the experiments.

Keywords: safety industrial system; dynamic system; case-based reasoning; decision making; multi-agent architecture; event tree; factors for semantic weighting; semantic network; ontology; similarity for case retrieval.

DOI: 10.1504/IJRS.2017.089708

International Journal of Reliability and Safety, 2017 Vol.11 No.3/4, pp.238 - 255

Available online: 31 Jan 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article