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Combining chronicle mining and semantics for predictive maintenance in manufacturing processes.

, , , , and . Semantic Web, 11 (6): 927-948 (2020)

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Semantic Technologies for the Modeling of Condition Monitoring Knowledge in the Framework of Industry 4.0.. EKAW (Doctoral Consortium), volume 2306 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach., , , , and . Cybern. Syst., 50 (2): 82-96 (2019)A Knowledge Graph-based Approach for the Quality Management of Bosch., , and . ISWC (Posters/Demos/Industry), volume 3632 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Combining chronicle mining and semantics for predictive maintenance in manufacturing processes., , , , and . Semantic Web, 11 (6): 927-948 (2020)An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules., , , , and . KES, volume 159 of Procedia Computer Science, page 630-639. Elsevier, (2019)Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain., , and . KEOD, page 310-316. SciTePress, (2018)Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0. (Technologies sémantiques pour la modélisation de la maintenance prédictive pour un réseau de PME dans le cadre de l'industrie 4.0).. Normandy University, Caen, France, (2020)Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance., , , , and . ICAART (2), page 618-625. SCITEPRESS, (2020)Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems., , , , and . Cybern. Syst., 51 (2): 161-176 (2020)Data Augmentation for Text-based Person Retrieval Using Large Language Models., , , , and . CoRR, (2024)