@inproceedings{UlmerLaiChengetal.2019,
  author    = {Ulmer, Jessica and Lai, Chow Yin and Cheng, Chi-Tsun and Wollert, J{\"o}rg},
  title     = {Integration von VR und AR in Produktlebenszyklen - Eine {\"U}bersicht {\"u}ber die Nutzung virtueller Technologien im industriellen Umfeld},
  series = {Automation 2019},
  booktitle = {Automation 2019},
  pages     = {1 -- 12},
  year      = {2019},
  language  = {de}
}
@inproceedings{UlmerBraunLaietal.2019,
  author    = {Ulmer, Jessica and Braun, Sebastian and Lai, Chow Yin and Cheng, Chi-Tsun and Wollert, J{\"o}rg},
  title     = {Generic integration of VR and AR in product lifecycles based on CAD models},
  series = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  booktitle = {Proceedings of The 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2019},
  year      = {2019},
  language  = {en}
}
@inproceedings{EngemannBadriWenningetal.2019,
  author    = {Engemann, Heiko and Badri, Sriram and Wenning, Marius and Kallweit, Stephan},
  title     = {Implementation of an Autonomous Tool Trolley in a Production Line},
  series = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  booktitle = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-19648-6},
  doi       = {10.1007/978-3-030-19648-6_14},
  pages     = {117 -- 125},
  year      = {2019},
  language  = {en}
}
@article{SchwarzGebhardtSchleseretal.2019,
  author    = {Schwarz, Alexander and Gebhardt, Andreas and Schleser, Markus and Popoola, Patricia},
  title     = {New Welding Joint Geometries Manufactured by Powder Bed Fusion from 316L},
  series = {Materials Performance and Characterization 8},
  journal   = {Materials Performance and Characterization 8},
  number    = {in press},
  issn      = {2379-1365},
  doi       = {10.1520/MPC20180096},
  year      = {2019},
  language  = {en}
}
@article{BucurLazarescuPopetal.2019,
  author    = {Bucur, Alexandru and Lazarescu, Lucian and Pop, Grigore Marian and Achimas, Gheorghe and Gebhardt, Andreas},
  title     = {Tribological performance of biodegradable lubricants under different surface roughness of tools},
  series = {Academic Journal of Manufacturing Engineering},
  volume    = {17},
  journal   = {Academic Journal of Manufacturing Engineering},
  number    = {1},
  issn      = {1583-7904},
  pages     = {172 -- 178},
  year      = {2019},
  language  = {en}
}
@inproceedings{UlmerWollertChengetal.2020,
  author    = {Ulmer, Jessica and Wollert, J{\"o}rg and Cheng, C. and Dowey, S.},
  title     = {Enterprise Gamification f{\"u}r produzierende mittelst{\"a}ndische Unternehmen},
  series = {Automation 2020 : Shaping Automation for our Future},
  booktitle = {Automation 2020 : Shaping Automation for our Future},
  publisher = {VDI-Verlag},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-092375-8},
  doi       = {10.51202/9783181023754-157},
  pages     = {157 -- 165},
  year      = {2020},
  abstract  = {Die fortschreitende Digitalisierung und Globalisierung fordert von den Unternehmen eine erh{\"o}hte Flexibilit{\"a}t und Anpassungsf{\"a}higkeit. Um dies zu erreichen, sind qualifizierte und engagierte Mitarbeiter/-innen unabdingbar. Gamification bietet die M{\"o}glichkeit, Besch{\"a}ftigte individuell in ihren T{\"a}tigkeiten zu unterst{\"u}tzen und mittels Feedbackmechanismen zu motivieren. In dieser Arbeit wird ein Gamification Konzept bestehend aus einem intelligenten Arbeitsplatz, einer Wissensdatenbank und einer Gamification Plattform vorgestellt, welches an bestehende Produktionsumgebungen adaptiert werden kann. Das Konzept wird am Beispiel der Longboardproduktion in der Industrie 4.0 Modellfabrik der FH Aachen implementiert und evaluiert.},
  language  = {de}
}
@article{PfaffGidaszewskiSchmidt2020,
  author    = {Pfaff, Raphael and Gidaszewski, Lars and Schmidt, Bernd},
  title     = {Ber{\"u}cksichtigung von No Fault Found im Diagnose- und Instandhaltungssystem von Schienenfahrzeugen},
  series = {ETR - Eisenbahntechnische Rundschau},
  journal   = {ETR - Eisenbahntechnische Rundschau},
  number    = {5},
  publisher = {DVV Media Group},
  address   = {Hamburg},
  issn      = {0013-2845},
  pages     = {56 -- 59},
  year      = {2020},
  abstract  = {Intermittierende und nicht reproduzierbare Fehler, auch als No Fault Found bezeichnet, treten in praktisch allen Bereichen auf und sorgen f{\"u}r hohe Kosten. Diese sind h{\"a}ufig auf unpr{\"a}zise Fehlerbeschreibungen zur{\"u}ckzuf{\"u}hren. Im vorliegenden Beitrag werden Anpassungen der Vorgehensweise bei der Entwicklung und Anpassungen des Diagnosesystems vorgeschlagen.},
  language  = {de}
}
@article{FrankoDuKallweitetal.2020,
  author    = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko},
  title     = {Design of a Multi-Robot System for Wind Turbine Maintenance},
  series = {Energies},
  volume    = {13},
  journal   = {Energies},
  number    = {10},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en13102552},
  pages     = {Article 2552},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}
@inproceedings{BraunChengDoweyetal.2020,
  author    = {Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Survey on Security Concepts to Adapt Flexible Manufacturing and Operations Management based upon Multi-Agent Systems},
  series = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Proceedings},
  booktitle = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Proceedings},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ISIE45063.2020.9152210},
  pages     = {5 Seiten},
  year      = {2020},
  abstract  = {The increasing digitalization brings new opportunities but also puts new challenges to modern industrial systems. Software agents are one of the key technologies towards self-optimizing factories and are currently used to address the needs of cyber-physical production systems (CPPS). However their interplay in industrial settings needs to be understood better.This paper focusses on securing a cloud infrastructure for multi-agent systems for industrial sites. An industrial site contains multiple production processes that need to communicate with each other and each physical resource is abstracted with a software agent. This volatile architecture needs to be managed and protected from manipulation. The proposed infrastructure presents a security concept for TCP/IP communication between agents, machines, and external networks. It is based on open-source software and tested on a three-node edge cloud controlling a model-plant.},
  language  = {en}
}
@article{KunkelGebhardtMpofuetal.2019,
  author    = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbulani and Kallweit, Stephan},
  title     = {Quality assurance in metal powder bed fusion via deep-learning-based image classification},
  series = {Rapid Prototyping Journal},
  volume    = {26},
  journal   = {Rapid Prototyping Journal},
  number    = {2},
  issn      = {1355-2546},
  doi       = {10.1108/RPJ-03-2019-0066},
  pages     = {259 -- 266},
  year      = {2019},
  language  = {en}
}