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 | 131 | 2012 |
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. O Niggemann, G Biswas, JS Kinnebrew, H Khorasgani, S Volgmann, ... DX, 185-192, 2015 | 113 | 2015 |
On the Nature of Structure and its Identification B Stein, O Niggemann Graph-Theoretic Concepts in Computer Science, 122-134, 1999 | 95 | 1999 |
On the diagnosis of cyber-physical production systems O Niggemann, V Lohweg Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 83 | 2015 |
System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants B Kroll, D Schaffranek, S Schriegel, O Niggemann Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014 | 81 | 2014 |
Automatic parameter estimation for reusable software components of modular and reconfigurable cyber-physical production systems in the domain of discrete manufacturing J Otto, B Vogel-Heuser, O Niggemann IEEE Transactions on Industrial Informatics 14 (1), 275-282, 2017 | 77 | 2017 |
Supporting intrusion detection by graph clustering and graph drawing J Tölle, O Niggemann Proceedings of Third International Workshop on Recent Advances in Intrusion …, 2000 | 67 | 2000 |
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 | 66 | 2015 |
Self-organizing maps for anomaly localization and predictive maintenance in cyber-physical production systems A Von Birgelen, D Buratti, J Mager, O Niggemann Procedia cirp 72, 480-485, 2018 | 61 | 2018 |
Identifying behavior models for process plants A Vodencarevic, HK Burring, O Niggemann, A Maier Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference …, 2011 | 60 | 2011 |
Anomaly detection in production plants using timed automata-automated learning of models from observations A Maier, O Niggemann, R Just, M Jäger, A Vodenčarević International Conference on Informatics in Control, Automation and Robotics …, 2011 | 60 | 2011 |
Why cyber-physical production systems need a descriptive engineering approach–a case study in plug & produce J Otto, S Henning, O Niggemann Procedia Technology 15, 295-302, 2014 | 54 | 2014 |
AutomationML: From data exchange to system planning and simulation S Faltinski, O Niggemann, N Moriz, A Mankowski 2012 IEEE International Conference on Industrial Technology, 378-383, 2012 | 51 | 2012 |
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 | 50 | 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 | 48 | 2012 |
Towards Industrie 4.0 compliant configuration of condition monitoring services F Pethig, O Niggemann, A Walter 2017 ieee 15th international conference on industrial informatics (indin …, 2017 | 47 | 2017 |
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 | 46 | 2013 |
COMPARISON OF INTERFACES BETWEEN SOFTWARE COMPONENTS O NIGGEMANN, J STROOP, R OTTERBACH, H HANSELMANN WO Patent WO/2006/100,078, 2006 | 42* | 2006 |
Comparison of Interfaces Between Software Components O Niggemann, J Stroop, R Otterbach, H Hanselmann US Patent App. 20,090/144,704, 2006 | 42* | 2006 |
Generating protein interaction maps from incomplete data: application to fold assignment M Lappe, J Park, O Niggemann, L Holm Bioinformatics 17 (suppl 1), S149, 2001 | 40 | 2001 |