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ORCIDStefan Windmann
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2020 – today
- 2024
[j11]Stefan Windmann:
Quantum computer-aided job scheduling for storage and retrieval systems. Autom. 72(1): 15-21 (2024)- [j10]Stefan Windmann, Tim Westerhold:
Fault detection in automated production systems based on a long short-term memory autoencoder. Autom. 72(1): 47-58 (2024) - [j9]Stefan Windmann:
Petri net based diagnostic approach for concurrent discrete event systems. Autom. 72(4): 259-270 (2024) - [j8]Alexander Diedrich, Stefan Windmann, Oliver Niggemann:
Solving industrial fault diagnosis problems with quantum computers. Quantum Mach. Intell. 6(2): 66 (2024) - [c20]Franziska Zelba, Kaja Balzereit, Stefan Windmann:
Concepts and Measures Towards Trustworthy AI in Industrial Manufacturing. ETFA 2024: 1-4 - [i1]Kaja Balzereit, Niels Grüttemeier, Nils Morawietz, Dennis Reinhardt, Stefan Windmann, Petra Wolf:
Scalable Neighborhood Local Search for Single-Machine Scheduling with Family Setup Times. CoRR abs/2409.00771 (2024) - 2023
- [c19]Niels Grüttemeier, Andreas Bunte, Stefan Windmann:
Optimization of a High Storage System with two Cranes per Aisle. INDIN 2023: 1-6 - 2022
- [j7]Stefan Windmann:
Learning Petri net models from sensor data of conveying systems based on the merging of prefix and postfix trees. Autom. 70(2): 142-153 (2022) - [j6]Stefan Windmann
:
Data-Driven Fault Detection in Industrial Batch Processes Based on a Stochastic Hybrid Process Model. IEEE Trans Autom. Sci. Eng. 19(4): 3888-3902 (2022) - 2021
- [c18]Kaja Balzereit, Alexander Diedrich, Jonas Ginster, Stefan Windmann, Oliver Niggemann:
An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. INDIN 2021: 1-6
2010 – 2019
- 2019
- [j5]Stefan Windmann, Kaja Balzereit, Oliver Niggemann:
Model-based routing in flexible manufacturing systems. Autom. 67(2): 95-112 (2019) - [c17]Khaled Al-Gumaei, Arthur Müller, Jan Nicolas Weskamp, Claudio Santo Longo, Florian Pethig, Stefan Windmann:
Scalable Analytics Platform for Machine Learning in Smart Production Systems. ETFA 2019: 1155-1162 - 2018
- [j4]Stefan Windmann, Oliver Niggemann, Heiko Stichweh:
Computation of energy efficient driving speeds in conveying systems. Autom. 66(4): 308-319 (2018) - [c16]Stefan Windmann, Oliver Niggemann:
Information Retrieval in Industrial Production Environments. ETFA 2018: 1205-1208 - 2017
- [j3]Stefan Windmann, Oliver Niggemann:
A self-configurable fault detection system for Industrial Ethernet networks. Autom. 65(6): 396 (2017) - [c15]Stefan Windmann, Dorota Lang, Oliver Niggemann:
Learning parallel automata of PLCs. ETFA 2017: 1-7 - [c14]Stefan Windmann, Oliver Niggemann, Holger Ruwe, Friedrich Becker:
A novel self-configuration method for RFID systems in industrial production environments. ETFA 2017: 1-5 - 2016
- [c13]Stefan Windmann, Oliver Niggemann:
A GPU-based method for robust and efficient fault detection in industrial automation processes. INDIN 2016: 442-445 - 2015
- [c12]Stefan Windmann, Jürgen Jasperneite:
An FPGA based FIFO with efficient memory management. ETFA 2015: 1-4 - [c11]Stefan Windmann, Florian Jungbluth, Oliver Niggemann:
A HMM-based fault detection method for piecewise stationary industrial processes. ETFA 2015: 1-6 - [c10]Stefan Windmann, Oliver Niggemann:
MapReduce algorithms for efficient generation of CPS models from large historical data sets. ETFA 2015: 1-4 - [c9]Stefan Windmann, Oliver Niggemann, Heiko Stichweh:
Energy efficiency optimization by automatic coordination of motor speeds in conveying systems. ICIT 2015: 731-737 - [c8]Stefan Windmann, Oliver Niggemann:
Automatic model separation and application for diagnosis in industrial automation systems. ICIT 2015: 1845-1850 - [c7]Stefan Windmann, Oliver Niggemann:
Efficient fault detection for industrial automation processes with observable process variables. INDIN 2015: 121-126 - [c6]Stefan Windmann, Jens Eickmeyer, Florian Jungbluth, Johann Badinger, Oliver Niggemann:
Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases. ML4CPS 2015: 45-50 - 2013
- [c5]Syed Shiraz Gilani, Stefan Windmann, Florian Pethig, Björn Kroll, Oliver Niggemann:
The importance of model-learning for the analysis of the energy consumption of production plants. ETFA 2013: 1-8 - [c4]Stefan Windmann, Shuo Jiao, Oliver Niggemann, Holger Borcherding:
A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems. INDIN 2013: 194-199
2000 – 2009
- 2009
- [j2]Stefan Windmann, Reinhold Haeb-Umbach:
Approaches to Iterative Speech Feature Enhancement and Recognition. IEEE Trans. Speech Audio Process. 17(5): 974-984 (2009) - [j1]Stefan Windmann, Reinhold Haeb-Umbach:
Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 17(8): 1577-1590 (2009) - 2008
- [b1]Stefan Windmann:
Ausnutzung zeitlicher Redundanzen der cepstralen Sprachmerkmale für die automatische Spracherkennung. University of Paderborn, Germany, 2008, pp. 1-175 - [c3]Stefan Windmann, Reinhold Haeb-Umbach:
Modeling the dynamics of speech and noise for speech feature enhancement in ASR. ICASSP 2008: 4409-4412 - 2007
- [c2]Stefan Windmann, Reinhold Haeb-Umbach:
An approach to iterative speech feature enhancement and recognition. INTERSPEECH 2007: 1086-1089 - 2006
- [c1]Stefan Windmann, Reinhold Haeb-Umbach:
Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. ICASSP (1) 2006: 465-468
Coauthor Index
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