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Knowledge-driven finite-state machines. Study case in monitoring industrial equipment.

, , , , and . INDIN, page 1056-1062. IEEE, (2015)

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Product, process and resource model coupling for knowledge-driven assembly automation., , , , , and . Automatisierungstechnik, 64 (3): 231-243 (2016)An approach for integrating legacy systems in the manufacturing industry., , , , and . INDIN, page 683-688. IEEE, (2016)An ISA-95 based Ontology for Manufacturing Systems Knowledge Description Extended with Semantic Rules., , and . INDIN, page 374-380. IEEE, (2018)Supporting a Cloud Platform with Streams of Factory Shop Floor Data in the Context of the Intustry 4.0., , , , and . INDIN, page 786-791. IEEE, (2018)An approach for implementing key performance indicators of a discrete manufacturing simulator based on the ISO 22400 standard., , , and . ICPS, page 629-636. IEEE, (2018)A Framework for Evaluating Security in Multi-Cloud Environments., , and . IECON, page 3059-3066. IEEE, (2018)An application of Cloud Robotics for enhancing the Flexibility of Robotic Cells at Factory Shop Floors., , and . IECON, page 2963-2970. IEEE, (2018)Potentials of Web Standards for Automation Control in Manufacturing Systems., , , and . EMS, page 359-366. IEEE, (2015)Cloud based solution enabling collaborative supply network optimization for an original equipment manufacturer., , , , and . INDIN, page 689-694. IEEE, (2016)Ensuring the consistency between assembly process planning and machine control software., , , , and . INDIN, page 1077-1083. IEEE, (2017)