[{"related_material":{"link":[{"url":"https://ieeexplore.ieee.org/document/11205799","relation":"confirmation"}]},"abstract":[{"lang":"eng","text":"The integration of data-driven models and specifically machine learning for conditon monitoring and predictive maintenance into companies, especially small and medium-sized enterprises, offers significant opportunities in reducing costs, operating more sustainably, and maintaining long-term competitiveness. However, many small and medium-sized enterprises lack the necessary resources and expertise to derive knowledge from data and integrate their own machine learning based solutions. To address this challenge, a framework is presented that enables the automated generation of data-driven models with a particular focus on condition monitoring and predictive maintenance, but applicable to other use cases as well. Using a dataset from the 2022 data challenge of the prognostics and health management society, it is demonstrated that the framework can generate high-performing models, achieving F1-scores up to 0.998, exemplarily for a classification task."}],"project":[{"name":"Industrie 4.0 Ökosystem für den automatisierten Einsatz von datengetriebenen Services (I4.0AutoServ)","_id":"1483"}],"publication":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","citation":{"apa":"Löwen, A., Quirin, D., Hesse, M., Aimiyekagbon, O. K., &#38; Sextro, W. (2025). Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems. <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto. <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">https://doi.org/10.1109/etfa65518.2025.11205799</a>","ieee":"A. Löwen, D. Quirin, M. Hesse, O. K. Aimiyekagbon, and W. Sextro, “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems,” presented at the 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto, 2025, doi: <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>.","short":"A. Löwen, D. Quirin, M. Hesse, O.K. Aimiyekagbon, W. Sextro, in: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2025.","chicago":"Löwen, Alexander, Dennis Quirin, Marc Hesse, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems.” In <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">https://doi.org/10.1109/etfa65518.2025.11205799</a>.","mla":"Löwen, Alexander, et al. “Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems.” <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, IEEE, 2025, doi:<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>.","ama":"Löwen A, Quirin D, Hesse M, Aimiyekagbon OK, Sextro W. Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems. In: <i>2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>","bibtex":"@inproceedings{Löwen_Quirin_Hesse_Aimiyekagbon_Sextro_2025, title={Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems}, DOI={<a href=\"https://doi.org/10.1109/etfa65518.2025.11205799\">10.1109/etfa65518.2025.11205799</a>}, booktitle={2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Löwen, Alexander and Quirin, Dennis and Hesse, Marc and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}, year={2025} }"},"type":"conference","department":[{"_id":"151"}],"date_created":"2025-12-18T09:07:38Z","publication_status":"published","date_updated":"2025-12-18T09:12:48Z","year":"2025","status":"public","title":"Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems","author":[{"id":"47233","first_name":"Alexander","last_name":"Löwen","full_name":"Löwen, Alexander"},{"first_name":"Dennis","last_name":"Quirin","full_name":"Quirin, Dennis"},{"first_name":"Marc","last_name":"Hesse","full_name":"Hesse, Marc"},{"id":"9557","full_name":"Aimiyekagbon, Osarenren Kennedy","last_name":"Aimiyekagbon","first_name":"Osarenren Kennedy"},{"id":"21220","first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter"}],"conference":{"name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","location":"Porto"},"user_id":"47233","doi":"10.1109/etfa65518.2025.11205799","_id":"63193","language":[{"iso":"eng"}],"publisher":"IEEE"}]