| Readiness of quantum optimization machines for industrial applications A Perdomo-Ortiz, A Feldman, A Ozaeta, SV Isakov, Z Zhu, B O’Gorman, ... Physical Review Applied 12 (1), 014004, 2019 | 63 | 2019 |
| Model-based diagnosis of hybrid systems using satisfiability modulo theory A Diedrich, A Maier, O Niggemann Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1452-1459, 2019 | 27 | 2019 |
| Integrating semantics for diagnosis of manufacturing systems A Bunte, A Diedrich, O Niggemann 2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016 | 20 | 2016 |
| An AI benchmark for diagnosis, reconfiguration & planning J Ehrhardt, M Ramonat, R Heesch, K Balzereit, A Diedrich, O Niggemann 2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022 | 12 | 2022 |
| On residual-based diagnosis of physical systems A Diedrich, O Niggemann Engineering Applications of Artificial Intelligence 109, 104636, 2022 | 12 | 2022 |
| An ensemble of benchmarks for the evaluation of AI methods for fault handling in CPPS K Balzereit, A Diedrich, J Ginster, S Windmann, O Niggemann 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021 | 12 | 2021 |
| A generic digitaltwin model for artificial intelligence applications O Niggemann, A Diedrich, C Kühnert, E Pfannstiel, J Schraven 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 9 | 2021 |
| Diagnosing systems through approximated information A Diedrich, O Niggemann Annual Conference of the PHM Society 13 (1), 2021 | 8 | 2021 |
| First approaches to automatically diagnose and reconfigure hybrid cyber-physical systems A Diedrich, K Balzereit, O Niggemann Machine Learning for Cyber Physical Systems: Selected papers from the …, 2021 | 8 | 2021 |
| Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. A Diedrich, O Niggemann DX, 2018 | 7 | 2018 |
| Generating causal hypotheses for explaining black-box industrial processes K Balzereit, A Diedrich, D Kubus, J Ginster, A Bunte 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 2022 | 6 | 2022 |
| Applying simulated annealing to problems in model-based diagnosis A Diedrich, A Feldman, A Perdomo-Ortiz, R Abreu, O Niggemann, ... International Workshop on Principles of Diagnosis: DX-2016, 2016 | 6 | 2016 |
| Semantics enable standardized user interfaces for diagnosis in modular production systems A Bunte, A Diedrich, O Niggemann International Workshop on the Principles of Diagnosis (DX), 2016 | 5 | 2016 |
| Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems A Bunte, A Diedrich, O Niggemann | 5* | |
| The digitaltwin from an artificial intelligence perspective O Niggemann, A Diedrich, C Kuehnert, E Pfannstiel, J Schraven arXiv preprint arXiv:2010.14376, 2020 | 4 | 2020 |
| ServiceNavigator-A Bayesian Assistance System for Diagnosing Industrial Production Systems A Diedrich, P Deutschmann, C Junker 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 2022 | 3 | 2022 |
| Kognitive Architektur zum Konzeptlernen in technischen Systemen A Diedrich, A Bunte, A Maier, O Niggemann Machine Learning for Cyber Physical Systems: Selected papers from the …, 2016 | 3 | 2016 |
| Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. A Diedrich, B Böttcher, O Niggemann ICAART (2), 280-287, 2016 | 2 | 2016 |
| Intelligente Qualitätssicherung und Fehlerursachenanalyse für Spritzgießmaschinen A Diedrich, J Eickmeyer, O Niggemann, R Preis, J Häfner | 1 | 2018 |
| Universal process optimization assistant for medium-sized manufacturing enterprises as self-learning expert system A Diedrich, J Eickmeyer, O Niggemann, P Li, T Hoppe, M Fuchs | 1 | 2017 |
Oliver NiggemannHelmut-Schmidt-Universität / Universität der Bundeswehr HamburgVerified email at hsu-hh.de
