Browsing by Author "Sarkar, A."

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    Detecting failure of a material handling system through a cognitive twin
    (Elsevier, 2022-10-26) D'Amico, Davide R.; Sarkar, A.; Karray, H.; Addepalli, Sri; Erkoyuncu, John Ahmet
    This paper describes a methodology for developing a digital twin (DT) based on a rich semantic model and principles of system engineering. The aim is to provide a general model of digital twins (DT) that can improve decision making based on semantic reasoning on real-time system monitoring. The methodology has been tested on a laboratory pilot plant that acts as a material handling system. The key contribution of this research is to propose a generic information model for DT using foundational ontology and principles of systems engineering. The efficacy of the proposed methodology is demonstrated by the automatic detection of a component level failure using semantic reasoning.