CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis D Ruan, J Wang, J Yan, C Gühmann Advanced Engineering Informatics 55, 2023 | 65 | 2023 |
Hardware-in-the-Loop simulation of a hybrid electric vehicle using Modelica/Dymola D Winkler, C Gühmann Proceedings of the 22nd international battery, hybrid and fuel cell Electric …, 2006 | 59 | 2006 |
LSTM based bearing fault diagnosis of electrical machines using motor current signal R Sabir, D Rosato, S Hartmann, C Guehmann 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 50 | 2019 |
RIANN--A Robust Neural Network Outperforms Attitude Estimation Filters D Weber, C Gühmann, T Seel arXiv preprint arXiv:2104.07391, 2021 | 39 | 2021 |
Neural networks versus conventional filters for inertial-sensor-based attitude estimation D Weber, C Gühmann, T Seel 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 39 | 2020 |
Friction and wear monitoring methods for journal bearings of geared turbofans based on acoustic emission signals and machine learning N Mokhtari, JG Pelham, S Nowoisky, JL Bote-Garcia, C Gühmann Lubricants 8 (3), 29, 2020 | 38 | 2020 |
Low-complexity compression of short messages S Rein, C Guhmann, FHP Fitzek Data Compression Conference (DCC'06), 123-132, 2006 | 37 | 2006 |
Compression of Short Text on Embedded Systems. S Rein, C Gühmann, FHP Fitzek J. Comput. 1 (6), 1-10, 2006 | 30 | 2006 |
Fractional wavelet filter for camera sensor node with external flash and extremely little RAM S Rein, S Lehmann, C Gühmann 4th International ICST Mobile Multimedia Communications Conference, 2010 | 27 | 2010 |
Collaborative optimization of CNN and GAN for bearing fault diagnosis under unbalanced datasets D Ruan, X Song, C Gühmann, J Yan Lubricants 9 (10), 105, 2021 | 22 | 2021 |
Model-based testing of automotive electronic control units C Gühmann 3rd International Conference on Materials Testing: Test 2005, 2005 | 22 | 2005 |
Evaluation of the wavelet image two-line coder: A low complexity scheme for image compression SA Rein, FHP Fitzek, C Gühmann, T Sikora Signal Processing: Image Communication 37, 58-74, 2015 | 21 | 2015 |
Wavelet image two-line coder for wireless sensor node with extremely little RAM S Rein, S Lehmann, C Gühmann 2009 Data Compression Conference, 252-261, 2009 | 21 | 2009 |
Testaulomatisierung in der Hardware-in-the-Loop Simulation C Guhmann, J Riese VDI BERICHTE 1672, 511-528, 2002 | 21 | 2002 |
Fault diagnosis of electric low-power motors by analyzing the current signal C Gühmann, D Filbert Fault Detection, Supervision and Safety for Technical Processes 1991, 141-146, 1992 | 20 | 1992 |
Improving semi-supervised learning for remaining useful lifetime estimation through self-supervision T Krokotsch, M Knaak, C Gühmann arXiv preprint arXiv:2108.08721, 2021 | 19 | 2021 |
The impact of an overlaid ripple current on battery aging: The development of the sicwell dataset E Goldammer, M Gentejohann, M Schlüter, D Weber, W Wondrak, ... Batteries 8 (2), 11, 2022 | 18 | 2022 |
Vibration signal analysis for the lifetime-prediction and failure detection of future turbofan components N Mokhtari, M Grzeszkowski, C Gühmann Technische Mechanik-European Journal of Engineering Mechanics 37 (2-5), 422-431, 2017 | 17 | 2017 |
Vibration based diagnostic of cracks in hybrid ball bearings M Seimer, C Gühmann In 14th IMEKO TC10 Workshop on Technical Diagnostics, 2016 | 17 | 2016 |
Comparison of Identification Methods for Nonlinear Dynamic Systems Gühmann, Clemens, JM Riedel Design of Experiments (DoE) in Engine Development, 2011 | 17* | 2011 |