An interactive rule based event management system for effective equipment troubleshooting

This paper presents an interactive rule based event management system (IREMS) design for effective equipment maintenance. A knowledge model comprising of fishbone like diagram and a Bayesian Network (BN) based model is proposed for knowledge extraction and representation. An interactive mechanism with BN for knowledge updating is proposed and implemented. The prototype system with case study has demonstrated the capability of the proposed system which has features of easy knowledge acquisition model, and interactive mechanism for communicating with field engineers in troubleshooting process. It can be used to support the decision-making effectively at various stages of troubleshooting of complex equipment.