| Reference architectures for the internet of things M Weyrich, C Ebert IEEE software 33 (1), 112-116, 2015 | 546 | 2015 |
| An architecture of an intelligent digital twin in a cyber-physical production system B Ashtari Talkhestani, T Jung, B Lindemann, N Sahlab, N Jazdi, ... at-Automatisierungstechnik 67 (9), 762-782, 2019 | 252 | 2019 |
| A survey on long short-term memory networks for time series prediction B Lindemann, T Müller, H Vietz, N Jazdi, M Weyrich Procedia CIRP 99, 650-655, 2021 | 180 | 2021 |
| A survey on anomaly detection for technical systems using LSTM networks B Lindemann, B Maschler, N Sahlab, M Weyrich Computers in Industry 131, 103498, 2021 | 179 | 2021 |
| An interactive environment for virtual manufacturing: the virtual workbench M Weyrich, P Drews Computers in industry 38 (1), 5-15, 1999 | 142 | 1999 |
| A digital twin for production planning based on cyber-physical systems: A Case Study for a Cyber-Physical System-Based Creation of a Digital Twin F Biesinger, D Meike, B Kraß, M Weyrich Procedia CIRP 79, 355-360, 2019 | 117 | 2019 |
| Agentenbasierte dynamische Rekonfiguration von vernetzten intelligenten Produktionsanlagen TB B Vogel-Heuser, ... Handbuch Industrie 4.0 Bd. 2 2, 31- 44, 2017 | 113* | 2017 |
| Consistency check to synchronize the Digital Twin of manufacturing automation based on anchor points BA Talkhestani, N Jazdi, W Schloegl, M Weyrich Procedia Cirp 72, 159-164, 2018 | 109 | 2018 |
| Machine-to-machine communication M Weyrich, JP Schmidt, C Ebert IEEE Software 31 (4), 19-23, 2014 | 88 | 2014 |
| Deep transfer learning for industrial automation: A review and discussion of new techniques for data-driven machine learning B Maschler, M Weyrich IEEE Industrial Electronics Magazine 15 (2), 65-75, 2021 | 83 | 2021 |
| Anomaly detection in discrete manufacturing using self-learning approaches B Lindemann, F Fesenmayr, N Jazdi, M Weyrich Procedia CIRP 79, 313-318, 2019 | 74 | 2019 |
| A concept in synchronization of virtual production system with real factory based on anchor-point method BA Talkhestani, N Jazdi, W Schlögl, M Weyrich Procedia Cirp 67, 13-17, 2018 | 71 | 2018 |
| The facets of digital twins in production and the automotive industry F Biesinger, M Weyrich 2019 23rd international conference on mechatronics technology (ICMT), 1-6, 2019 | 67 | 2019 |
| A case study for a digital twin of body-in-white production systems general concept for automated updating of planning projects in the digital factory F Biesinger, D Meike, B Kraß, M Weyrich 2018 IEEE 23rd international conference on emerging technologies and factory …, 2018 | 62 | 2018 |
| Digital twin for verification and validation of industrial automation systems–a survey A Löcklin, M Müller, T Jung, N Jazdi, D White, M Weyrich 2020 25th IEEE international conference on emerging technologies and factory …, 2020 | 59 | 2020 |
| Problems of older persons using a wheeled walker U Lindemann, M Schwenk, J Klenk, M Kessler, M Weyrich, F Kurz, ... Aging clinical and experimental research 28, 215-220, 2016 | 55 | 2016 |
| An approach for peg-in-hole assembling using intuitive search algorithm based on human behavior and carried by sensors guided industrial robot MW Abdullah, H Roth, M Weyrich, J Wahrburg IFAC-PapersOnLine 48 (3), 1476-1481, 2015 | 51 | 2015 |
| Smart Product Engineering - Methodology for Identification of Adaptive Reusable Modules in Automated Production Systems BVH M. Abramovici, R. Stark (Ed.): K. Kernschmidt, Ph. Klein, N. Jazdi, P ... Proceedings of the 23rd CIRP Design Conference, Bochum, Germany, March 11th …, 2013 | 51* | 2013 |
| Cyber-physical production systems: enhancement with a self-organized reconfiguration management T Müller, N Jazdi, JP Schmidt, M Weyrich Procedia CIRP 99, 549-554, 2021 | 48 | 2021 |
| Anomaly detection and prediction in discrete manufacturing based on cooperative LSTM networks B Lindemann, N Jazdi, M Weyrich 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 42 | 2020 |
Alexander FayHelmut-Schmidt-Universität HamburgBestätigte E-Mail-Adresse bei hsu-hh.de
