@article{cao_smart_2019,
	title = {Smart {Condition} {Monitoring} for {Industry} 4.0 {Manufacturing} {Processes}: {An} {Ontology}-{Based} {Approach}},
	volume = {50},
	shorttitle = {Smart {Condition} {Monitoring} for {Industry} 4.0 {Manufacturing} {Processes}},
	doi = {10.1080/01969722.2019.1565118},
	abstract = {Following the trend of Industry 4.0, automation in different manufacturing processes has triggered the use of intelligent condition monitoring systems, which are crucial for improving productivity and availability of production systems. To develop such an intelligent system, semantic technologies are of paramount importance. This paper introduces an ontology that will be used to develop an intelligent condition monitoring system. The proposed ontology formalizes domain knowledge related to condition monitoring tasks of manufacturing processes. After introducing the ontology in detail, we evaluate the proposed ontology by instantiating it with a case study: a conditional maintenance task of bearings in rotating machinery.},
	journal = {Cybernetics and Systems},
	author = {Cao, Qiushi and Giustozzi, Franco and Zanni-Merk, Cecilia and De Bertrand de Beuvron, François and Reich, Christoph},
	month = feb,
	year = {2019},
	pages = {1--15},
}

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