Detecting failure of a material handling system through a cognitive twin

This paper describes a methodology for developing digital twin (DT) based on rich semantic model and principles of system engineering. The aim is to provide general twins that can improve decision making reasoning real-time monitoring. has been tested laboratory pilot plant acts as material handling system. key contribution this research propose generic information DT using foundational ontology systems efficacy the proposed demonstrated by automatic detection component level failure reasoning.