Towards an infrastructure enabling the internet of production J Pennekamp, R Glebke, M Henze, T Meisen, C Quix, R Hai, L Gleim, ... 2019 IEEE international conference on industrial cyber physical systems …, 2019 | 143 | 2019 |
Dataflow challenges in an internet of production: a security & privacy perspective J Pennekamp, M Henze, S Schmidt, P Niemietz, M Fey, D Trauth, T Bergs, ... Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy …, 2019 | 75 | 2019 |
FactDAG: formalizing data interoperability in an internet of production L Gleim, J Pennekamp, M Liebenberg, M Buchsbaum, P Niemietz, ... IEEE Internet of Things Journal 7 (4), 3243-3253, 2020 | 65 | 2020 |
A case for integrated data processing in large-scale cyber-physical systems R Glebke, M Henze, K Wehrle, P Niemietz, D Trauth, P Mattfeld MBA, ... | 39 | 2019 |
Private multi-hop accountability for supply chains J Pennekamp, L Bader, R Matzutt, P Niemietz, D Trauth, M Henze, ... 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 29 | 2020 |
Stamping process modelling in an internet of production P Niemietz, J Pennekamp, I Kunze, D Trauth, K Wehrle, T Bergs Procedia Manufacturing 49, 61-68, 2020 | 25 | 2020 |
Punch-to-punch variations in stamping processes T Bergs, P Niemietz, T Kaufman, D Trauth 2020 IEEE 18th World Symposium on Applied Machine Intelligence and …, 2020 | 18 | 2020 |
Perspectives on data-driven models and its potentials in metal forming and blanking technologies M Liewald, T Bergs, P Groche, BA Behrens, D Briesenick, M Müller, ... Production Engineering 16 (5), 607-625, 2022 | 15 | 2022 |
In-situ material classification in sheet-metal blanking using deep convolutional neural networks M Unterberg, P Niemietz, D Trauth, K Wehrle, T Bergs Production Engineering 13, 743-749, 2019 | 14 | 2019 |
Detecting out-of-control sensor signals in sheet metal forming using in-network computing I Kunze, P Niemietz, L Tirpitz, R Glebke, D Trauth, T Bergs, K Wehrle 2021 IEEE 30th international symposium on industrial electronics (ISIE), 1-6, 2021 | 13 | 2021 |
A concept for low-emission production using Distributed Ledger Technology J Mayer, P Niemietz, D Trauth, T Bergs Procedia CIRP 98, 619-624, 2021 | 11 | 2021 |
Machine learning approach to integrate waste management companies in micro grids M Graus, P Niemietz, MT Rahman, M Hiller, M Pahlenkemper 2018 19th International Scientific Conference on Electric Power Engineering …, 2018 | 11 | 2018 |
Digitalized manufacturing process sequences–foundations and analysis of the economic and ecological potential A Beckers, T Hommen, M Becker, MJK Kornely, E Reuter, G Grünert, ... CIRP Journal of Manufacturing Science and Technology 39, 387-400, 2022 | 10 | 2022 |
Autoencoder based wear assessment in sheet metal forming P Niemietz, M Unterberg, D Trauth, T Bergs IOP conference series: materials science and engineering 1157 (1), 012082, 2021 | 10 | 2021 |
AI-based framework for deep learning applications in grinding T Kaufmann, S Sahay, P Niemietz, D Trauth, W Maaß, T Bergs 2020 IEEE 18th World Symposium on Applied Machine Intelligence and …, 2020 | 10 | 2020 |
Relating wear stages in sheet metal forming based on short-and long-term force signal variations P Niemietz, MJK Kornely, D Trauth, T Bergs Journal of Intelligent Manufacturing 33 (7), 2143-2155, 2022 | 9 | 2022 |
Stamping process modelling in an internet of production T Bergs, P Niemietz, J Pennekamp, I Kunze, D Trauth, K Wehrle CIRP TESConf, 2019 | 7 | 2019 |
Data-driven indirect punch wear monitoring in sheet-metal stamping processes M Unterberg, M Becker, P Niemietz, T Bergs Journal of Intelligent Manufacturing 35 (4), 1721-1735, 2024 | 6 | 2024 |
How Distributed Ledger Technologies affect business models of manufacturing companies J Mayer, P Niemietz, D Trauth, T Bergs Procedia CIRP 104, 152-157, 2021 | 6 | 2021 |
INTERNET OF PRODUCTIONTURNING DATA INTO VALUE-Monetarisierung von Fertigungsdaten D Trauth, T Bergs, C Gülpen, W Maaß, J Mayer, H Musa, P Niemietz, ... DOI 10, 342-361, 2020 | 6 | 2020 |