@inproceedings{SchulzKiess, author = {Schulz, Carsten and Kieß, Benjamin}, title = {Validierung des Digitalen Zwillings eines Getriebes im Zeitbereich}, series = {Dresdner Maschinenelemente Kolloquium - DMK 2024, 14.-15. Mai 2024, Dresden}, booktitle = {Dresdner Maschinenelemente Kolloquium - DMK 2024, 14.-15. Mai 2024, Dresden}, language = {de} } @inproceedings{KiessSchulz, author = {Kieß, Benjamin and Schulz, Carsten}, title = {Digital Twin Based Predictive Maintenance}, series = {NWC, NAFEMS World Congress 2021: 25-29 October, Online}, booktitle = {NWC, NAFEMS World Congress 2021: 25-29 October, Online}, abstract = {Maintenance strategies of drivetrains either focus on cases of failure or act preventively. The case of failure of a single element within a drivetrain can lead to the failure of the whole machinery or even an entire production line. A maintenance strategy, which focuses only on the case of failure, holds therefore economic risks. A preventive maintenance strategy can lead to replacements of intact components, because one strictly relies on fix maintenance intervals. The useful life of these replaced components is not fully utilized. A further development is the combination of one or two maintenance strategies mentioned above with condition monitoring (CM) in addition. CM monitors crucial components of the machinery. If CM indicates first signs of maloperation, unusual signals or amplitudes, one can initiate maintenance. The significance of a CM relies on the amount, placement and positioning of sensors. In reality, placement and positioning is restricted by design space and operation conditions. Current Research at HSA aims on the development of a predictive maintenance strategy, which combines CM with a realtime-capable digital twin. The latter bases on a multibody system and can be considered as a virtual CM. Within this, the CM provides boundary conditions and realtime validation for the digital twin. The virtual CM suffers no restrictions such as design space and operation conditions. It is able to predict the behavior of the drivetrain at any time, at any place, in any resolution. The data provided by the virtual CM can be used to reevaluate maximum utilization of components and therefore it can be used to set up a predictive maintenance strategy. To investigate the possibilities of this predicitve maintenance strategy further, a drivetrain test bench has been developed at HSA from scratch. The main component is a modular, three-stage gearbox which allows different setups of parameters in which e.g. center distance, bearing concepts and transmission ratio can be changed and modified. Several high fidelity sensors provide CM in realtime. The Paper will focus on the comparison of real and virtual signals and shows first results of validations in frequency domain.}, language = {en} } @inproceedings{SchulzKiessGraness, author = {Schulz, Carsten and Kieß, Benjamin and Graneß, Henry}, title = {Tooth root modeling induced variations of the calculated transmission error}, series = {NAFEMS World Congress, Tampa, 15th-18th May 2023}, booktitle = {NAFEMS World Congress, Tampa, 15th-18th May 2023}, language = {en} } @inproceedings{GoedekeSchulzGrussetal., author = {Goedeke, Arne and Schulz, Carsten and Gruss, H. and Kieß, Benjamin}, title = {Structural Health Monitoring auf Basis sich ver{\"a}ndernder Strukturdehnungen an Br{\"u}ckentr{\"a}gern}, series = {Der Kran - Leistungssteigerung, Leichtbau und Automatisierung : 27. Internationale Kranfachtagung 2019 : Begleitband zur Kranfachtagung am 07. M{\"a}rz 2019 in Bochum}, booktitle = {Der Kran - Leistungssteigerung, Leichtbau und Automatisierung : 27. Internationale Kranfachtagung 2019 : Begleitband zur Kranfachtagung am 07. M{\"a}rz 2019 in Bochum}, publisher = {Selbstverlag der Ruhr-Universit{\"a}t Bochum}, isbn = {3-89194-226-5}, language = {de} } @inproceedings{KiessSchulz, author = {Kieß, Benjamin and Schulz, Carsten}, title = {Zustands{\"u}berwachung von Industriegetrieben basierend auf einem Digitalen Zwilling}, series = {Dresdner Maschinenelemente Kolloquium (DMK 2022), 26.-27. April}, booktitle = {Dresdner Maschinenelemente Kolloquium (DMK 2022), 26.-27. April}, editor = {Schlecht, Berthold}, publisher = {Sierke Verlag}, address = {G{\"o}ttingen}, organization = {Technische Universit{\"a}t Dresden}, isbn = {978-3-96548-135-0}, language = {de} }