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In recent years and across a myriad of industries, there has been a realisation that in order to optimise the Remaining Useful Life (RUL) of assets and to maintain optimal system level performance whilst assets age and at times with growing and dynamic loading demands, a transition to predictive maintenance from reactive and traditional condition based monitoring and maintenance is required to achieve...
This paper proposes a novel approach for autonomous mission diagnosis and repair for maintaining operability of unmanned underwater vehicles. It combines the benefits of knowledge-based ontology representation, autonomous partial ordering plan repair and robust mission execution. The approach uses the potential of ontology reasoning in order to orient the planning algorithms adapting the mission plan...
This paper proposes a semantic world model framework for hierarchical distributed representation of knowledge in autonomous underwater systems. This framework aims to provide a more capable and holistic system, involving semantic interoperability, among all involved information sources. This will enhance interoperability, independence of operation, and situation awareness of the embedded service-oriented...
This paper proposes a novel approach for autonomous mission plan recovery for maintaining operability of unmanned underwater vehicles. It combines the benefits of knowledge-based ontology representation, autonomous partial ordering plan repair and robust mission execution. The approach uses the potential of ontology reasoning in order to orient the planning algorithms adapting the mission plan of...
Recent developments in defining ontologies for a domain provide significant potential in model design, able to encapsulate the essence of the diagnostic semantic into concepts and to describe the key relationships between the components of the system being diagnosed. In this paper, a framework based on the knowledge space of the system is developed to guide the fault detection process and better automated...
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