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Alexander Maier
Alexander Maier
Fachhochschule Bielefeld
Bestätigte E-Mail-Adresse bei fh-bielefeld.de
Titel
Zitiert von
Zitiert von
Jahr
Learning behavior models for hybrid timed systems
O Niggemann, B Stein, A Vodencarevic, A Maier, HK Büning
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
1122012
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
662014
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
542011
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
532015
Identifying behavior models for process plants
A Vodenčarević, HK Bürring, O Niggemann, A Maier
ETFA2011, 1-8, 2011
522011
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
462011
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
442013
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
432012
Identification of timed behavior models for diagnosis in production systems.
A Maier
University of Paderborn, 2015
222015
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, 473-485, 2017
212017
On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems.
A Maier, O Niggemann, J Eickmeyer
DX, 217-224, 2015
202015
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
202012
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
162019
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
132017
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
132013
Visual Anomaly Detection in Production Plants.
A Maier, T Tack, O Niggemann
ICINCO (1), 67-75, 2012
132012
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
122020
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
102013
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
102011
Automationml as a shared model for offline-and realtime-simulation of production plants and for anomaly detection
O Graeser, B Kumar, O Niggemann, N Moriz, A Maier
Informatics in Control, Automation and Robotics, 195-209, 2013
82013
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