| Learning behavior models for hybrid timed systems O Niggemann, B Stein, A Vodencarevic, A Maier, HK Büning Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1083-1090, 2012 | 116 | 2012 |
| Online passive learning of timed automata for cyber-physical production systems A Maier 2014 12th IEEE International Conference on Industrial Informatics (INDIN), 60-66, 2014 | 68 | 2014 |
| Anomaly detection in production plants using timed automata A Maier, A Vodencarevic, O Niggemann, R Just, M Jaeger 8th International Conference on Informatics in Control, Automation and …, 2011 | 55 | 2011 |
| Big data analysis of manufacturing processes S Windmann, A Maier, O Niggemann, C Frey, A Bernardi, Y Gu, ... Journal of physics: Conference series 659 (1), 012055, 2015 | 54 | 2015 |
| Identifying behavior models for process plants A Vodenčarević, HK Bürring, O Niggemann, A Maier ETFA2011, 1-8, 2011 | 54 | 2011 |
| Using behavior models for anomaly detection in hybrid systems A Vodenčarević, HK Büning, O Niggemann, A Maier 2011 XXIII International Symposium on Information, Communication and …, 2011 | 47 | 2011 |
| Detecting anomalous energy consumptions in distributed manufacturing systems S Faltinski, H Flatt, F Pethig, B Kroll, A Vodenčarević, A Maier, ... IEEE 10th International Conference on Industrial Informatics, 358-363, 2012 | 45 | 2012 |
| A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems S Windmann, S Jiao, O Niggemann, H Borcherding 2013 11th IEEE International Conference on Industrial Informatics (INDIN …, 2013 | 44 | 2013 |
| Big data and machine learning for the smart factory—Solutions for condition monitoring, diagnosis and optimization A Maier, S Schriegel, O Niggemann Industrial Internet of Things: Cybermanufacturing Systems, 473-485, 2017 | 25 | 2017 |
| Identification of timed behavior models for diagnosis in production systems. A Maier University of Paderborn, 2015 | 22 | 2015 |
| On the learning of timing behavior for anomaly detection in cyber-physical production systems. A Maier, O Niggemann, J Eickmeyer DX, 217-224, 2015 | 21 | 2015 |
| A generic synchronized data acquisition solution for distributed automation systems F Pethig, B Kroll, O Niggemann, A Maier, T Tack, M Maag Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012 | 20 | 2012 |
| 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 | 17 | 2019 |
| Visual Anomaly Detection in Production Plants. A Maier, T Tack, O Niggemann ICINCO (1), 67-75, 2012 | 16 | 2012 |
| A novel anomaly detection algorithm for hybrid production systems based on deep learning and timed automata N Hranisavljevic, O Niggemann, A Maier arXiv preprint arXiv:2010.15415, 2020 | 15 | 2020 |
| Industrie 4.0 Communication Guideline Based on OPC UA F Pethig, S Schriegel, A Maier, J Otto, S Windmann, B Böttcher, ... VDMA, Fraunhofer IOSBN-INA, Tech. Rep., 2017 | 15 | 2017 |
| Why do verification approaches in automation rarely use HIL-test? N Schetinin, N Moriz, B Kumar, A Maier, S Faltinski, O Niggemann 2013 IEEE International Conference on Industrial Technology (ICIT), 1428-1433, 2013 | 13 | 2013 |
| Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines N Hranisavljevic, A Maier, O Niggemann Engineering Applications of Artificial Intelligence 95, 103826, 2020 | 12 | 2020 |
| A learning anomaly detection algorithm for hybrid manufacturing systems O Niggemann, A Vodencarevic, A Maier, S Windmann, HK Büning The 24th International Workshop on Principles of Diagnosis (DX-2013 …, 2013 | 11 | 2013 |
| Automationml as a basis for offline-and realtime-simulation O Graeser, B Kumar, O Niggemann, N Moriz, A Maier 8th International Conference on Informatics in Control, Automation and …, 2011 | 9* | 2011 |
Oliver NiggemannHelmut-Schmidt-Universität / Universität der Bundeswehr HamburgBestätigte E-Mail-Adresse bei hsu-hh.de
