Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System
Nourhène Ben Rabah, Ramla Saddem, Faten Ben Hmida, Véronique Carré-Ménétrier, Moncef Tagina · Journal of Physics Conference Series · 2017
Diagnosis of Automated Production System (APS) is a decision-making processdesigned to detect, locate and identify a particular failure caused by the control law.In the literature, there are three major types of reasoning for industrial diagnosis: the first is modelbased, the second is rule-based and the third is case-based.The common and major limitation of the first and the second reasonings is that they do not have automated learning ability.This paper presents an interactive and effective Case Based Decision Support System for online Diagnosis (CB-DSSD) of an APS.It offers a synergy between the Case Based Reasoning (CBR) and the Decision Support System (DSS) in order to support and assist Human Operator of Supervision (HOS) in his/her decision process.Indeed, the experimental evaluation performed on an Interactive Training System for PLC (ITS PLC) that allows the control of a Programmable Logic Controller (PLC), simulating sensors or/and actuators failures and validating the control algorithm through a real time interactive experience, showed the efficiency of our approach.