TY - BOOK A1 - Fiedler, Jörg A1 - Wollert, Jörg T1 - C für die Automatisierungspraxis : Grundlagen, Algorithmen, Beispiele Y1 - 1993 SN - 3-18-401320-0 PB - Düsseldorf CY - VDI-Verl. ER - TY - JOUR A1 - Franko, Josef A1 - Du, Shengzhi A1 - Kallweit, Stephan A1 - Duelberg, Enno Sebastian A1 - Engemann, Heiko T1 - Design of a Multi-Robot System for Wind Turbine Maintenance JF - Energies N2 - The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future. Y1 - 2020 U6 - http://dx.doi.org/10.3390/en13102552 SN - 1996-1073 VL - 13 IS - 10 SP - Article 2552 PB - MDPI CY - Basel ER - TY - CHAP A1 - Franzen, Julian A1 - Stecken, Jannis A1 - Pfaff, Raphael A1 - Kuhlenkötter, Bernd T1 - Using the Digital Shadow for a Prescriptive Optimization of Maintenance and Operation : The Locomotive in the Context of the Cyber-Physical System T2 - Advances in Production, Logistics and Traffic N2 - In competition with other modes of transport, rail freight transport is looking for solutions to become more attractive. Short-term success can be achieved through the data-driven optimization of operations and maintenance as well as the application of novel strategies such as prescriptive maintenance. After introducing the concept of prescriptive maintenance, this paper aims to prove that vehicle-focused applications of this approach indeed have the potential to increase attractiveness. However, even greater advantages can be activated if data from the horizontal network of the vehicle is available. Drawing on the state of the art in research and technology in the field of cyber-physical systems (CPS) as well as digital twins and shadows, our work serves to design a system of systems for the horizontal interconnection of a rail vehicle and to conceptualize a draft for a digital twin of a locomotive. Y1 - 2019 SN - 978-3-030-13535-5 U6 - http://dx.doi.org/10.1007/978-3-030-13535-5_19 SP - 265 EP - 276 PB - Springer CY - Cham ER - TY - JOUR A1 - Franzen, Julius A1 - Pinders, Erik A1 - Pfaff, Raphael A1 - Enning, Manfred T1 - RailCrowd’s virtual fleets: Make most of your asset data JF - Deine Bahn N2 - For smaller railway operators or those with a diverse fleet, it can be difficult to collect sufficient data to improve maintenance programs. At the same time, new rules such as entity in charge of maintenance – ECM – regulations impose an additional workload by requiring a dedicated maintenance management system and specific reports. The RailCrowd platform sets out to facilitate compliance with ECM and similar regulations while at the same time pooling anonymised fleet data across operators to form virtual fleets, providing greater data insights. Y1 - 2018 SN - 0948-7263 IS - 9 SP - 11 EP - 13 PB - Bahn-Fachverlag CY - Berlin ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - The calculation of component activities of binary metallic melts from their gas solubilities JF - Zeitschrift für Metallkunde Y1 - 1985 SN - 0044-3093 VL - 76 IS - 2 SP - 135 EP - 137 ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - Thermodynamic relations between component activities and gas solubilities in binary metallic systems JF - Berichte der Bunsengesellschaft für physikalische Chemie Y1 - 1985 SN - 0940-483X SN - 0005-9021 VL - 89 IS - 2 SP - 130 EP - 134 ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - The application of a quadi-chemical lattice model to binary metallic solvents containing oxygen in higher concentrations JF - Zeitschrift für Metallkunde Y1 - 1983 SN - 0044-3093 VL - 74 IS - 10 SP - 665 EP - 666 ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - Über die Voraussetzungen der Wasserstofflöslichkeit in binären Eisenschmelzen JF - Archiv für das Eisenhüttenwesen : Fachberichte Y1 - 1984 SN - 0003-8962 SN - 1611-3683 VL - 55 IS - 2 SP - 45 EP - 48 ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - Die Vorausbestimmung der Stickstofflöslichkeit in binären Eisenschmelzen JF - Archiv für das Eisenhüttenwesen : Fachberichte Y1 - 1984 SN - 0003-8962 SN - 1611-3683 VL - 55 IS - 8 SP - 365 EP - 367 ER - TY - JOUR A1 - Frohberg, Martin G. A1 - Anik, Sabri T1 - Untersuchungen zum Lösungsverhalten von Sauerstoff in Metallschmelzen JF - Neue Hütte : metallurgisch-metallkundliche Fachzeitschrift für Forschung und Praxis Y1 - 1986 SN - 0028-3207 VL - 31 IS - 7 SP - 255 EP - 258 ER -