Abstract
Issues such as data integration and system interoperability are becoming more crucial in asset lifecycle management (ALM) information models. Improving the availability and exploitation of maintenance data is beneficial for both: predicting malfunctions and failures of the assets; and providing useful feedback of the beginning of life (BOL) to engineers for improving the next generations of the assets. The aim of this work is to combine an ontology information model for semantic maintenance with an IT system architecture in order to provide benefits and new services for the maintenance of the SISTRE system (Supervised industrial system for pallets transfer). The use of the ontology model is combined with description logics (DLs) which allow to reason on classes and instances. The information system is executable, dynamic, and flexible. The use of DLs is tested and validated through implementation in SISTRE which also demonstrates how the user may extend the developed model for facilitating better his needs and at the same time maintain data integration and interoperability among the variations of the initial model.
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Acknowledgments
This work was carried out in the framework of SMAC project (Semantic-maintenance and life cycle), supported by Interreg IV program between France and Switzerland.
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Matsokis, A., Kiritsis, D. (2014). An Ontology-Based Implementation on a Robotic Assembly Line for Supporting Lifecycle Data Management. In: Lee, J., Ni, J., Sarangapani, J., Mathew, J. (eds) Engineering Asset Management 2011. Lecture Notes in Mechanical Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4993-4_42
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DOI: https://doi.org/10.1007/978-1-4471-4993-4_42
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