Alexander Diedrich
Alexander Diedrich
Fraunhofer IOSB-INA
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Zitiert von
Zitiert von
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
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
Integrating semantics for diagnosis of manufacturing systems
A Bunte, A Diedrich, O Niggemann
2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016
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
Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory.
A Diedrich, O Niggemann
DX, 2018
On Residual-based Diagnosis of Physical Systems
A Diedrich, O Niggemann
Engineering Applications of Artificial Intelligence 109, 104636, 2022
Diagnosing Systems through Approximated Information
A Diedrich, O Niggemann
Annual Conference of the PHM Society 13 (1), 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
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
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
Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems
A Bunte, A Diedrich, O Niggemann
An ai benchmark for diagnosis, reconfiguration planning
J Ehrhardt, M Ramonat, R Heesch, K Balzereit, A Diedrich, O Niggemann
2022 27th ieee international conference on emerging technologies and factory …, 2022
First approaches to automatically diagnose and reconfigure hybrid cyber-physical systems
A Diedrich, K Balzereit, O Niggemann
Machine Learning for Cyber Physical Systems, 113-122, 2021
The DigitalTwin from an Artificial Intelligence Perspective
O Niggemann, A Diedrich, C Kuehnert, E Pfannstiel, J Schraven
arXiv preprint arXiv:2010.14376, 2020
Kognitive Architektur zum Konzeptlernen in technischen Systemen
A Diedrich, A Bunte, A Maier, O Niggemann
Machine Learning for Cyber Physical Systems, 75-85, 2016
Intelligente Qualitätssicherung und Fehlerursachenanalyse für Spritzgießmaschinen
A Diedrich, J Eickmeyer, O Niggemann, R Preis, J Häfner
Learning Causal System Descriptions for Diagnosing Cyber-Physical Systems
A Diedrich, F Buchholz, O Niggemann
33rd International Workshop on Principle of Diagnosis–DX 2022, 2022
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
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
Model-based diagnosis in combinational digital circuits: An application with potential for quantum speedup
A Perdomo-Ortiz, A Feldman, Z Zhu, A Ozaeta, S Isakov, V Denchev, ...
APS March Meeting Abstracts 2017, A51. 004, 2017
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