State-of-the-Art in Wind Turbine Control: Trends and Challenges JG Njiri, D Söffker Renewable and Sustainable Energy Reviews, 377-393, 2016 | 343 | 2016 |
State estimation of dynamical systems with nonlinearities by using proportional-integral observer D Söffker, TJ Yu, PC Müller International Journal of Systems Science 26 (9), 1571-1582, 1995 | 304 | 1995 |
Bearing fault diagnosis method based on deep convolutional neural network and random forest ensemble learning G Xu, M Liu, Z Jiang, D Söffker, W Shen Sensors 19 (5), 1088, 2019 | 258 | 2019 |
Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions AM Ali, D Söffker Energies 11 (476), 2018 | 142 | 2018 |
Wear detection by means of wavelet-based acoustic emission analysis D Baccar, D Söffker Mechanical Systems and Signal Processing 60, 198-207, 2015 | 96 | 2015 |
Chaotic motions and fault detection in a cracked rotor PC Müller, J Bajkowski, D Söffker Nonlinear Dynamics 5, 233-254, 1994 | 94 | 1994 |
Detection of cracks in turborotors—a new observer based method D Söffker, J Bajkowski, PC Müller J. Dyn. Sys., Meas., Control 115 (3), 518-525, 1993 | 93 | 1993 |
Structural health management utilization for lifetime prognosis and advanced control strategy deployment of wind turbines: An overview and outlook concerning actual methods … N Beganovic, D Söffker Renewable and Sustainable Energy Reviews 64, 68-83, 2016 | 87 | 2016 |
Optimization Strategy for PID-Controller Design of AMB Rotor Systems C Wei, D Söffker IEEE Transactions on Control Systems Technology 23 (3), 788-803, 2016 | 80 | 2016 |
Consideration of lifetime and fatigue load in wind turbine control JG Njiri, N Beganovic, MH Do, D Söffker Renewable energy 131, 818-828, 2019 | 77 | 2019 |
Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives M Karbaschian, D Söffker Energies 7 (6), 3512-3536, 2014 | 76 | 2014 |
Identification and classification of failure modes in laminated composites by using a multivariate statistical analysis of wavelet coefficients D Baccar, D Söffker Mechanical Systems and Signal Processing 96, 77-87, 2017 | 67 | 2017 |
A review of HMM-based approaches of driving behaviors recognition and prediction Q Deng, D Söffker IEEE Transactions on Intelligent Vehicles 7 (1), 21-31, 2021 | 65 | 2021 |
Proportional-integral-observer: A brief survey with special attention to the actual methods using acc benchmark F Bakhshande, D Söffker Ifac-PapersOnLine 48 (1), 532-537, 2015 | 59 | 2015 |
Prediction performance of lane changing behaviors: a study of combining environmental and eye-tracking data in a driving simulator Q Deng, J Wang, K Hillebrand, CR Benjamin, D Söffker IEEE Transactions on Intelligent Transportation Systems 21 (8), 3561-3570, 2019 | 57 | 2019 |
Interaction of Intelligent and Autonomous Systems - Part I: Qualitative Structuring of Interactions D Söffker MCMDS-Mathematical and Computer Modelling of Dynamical Systems 14 (4), 303-318, 2008 | 51 | 2008 |
Optimal control of multi-source electric vehicles in real time using advisory dynamic programming AM Ali, A Ghanbar, D Söffker IEEE Transactions on Vehicular Technology 68 (11), 10394-10405, 2019 | 49 | 2019 |
Modeling driver behavior at roundabouts: Results from a field study M Zhao, D Kathner, M Jipp, D Soffker, K Lemmer 2017 IEEE intelligent vehicles symposium (IV), 908-913, 2017 | 49 | 2017 |
A brief review and a first application of time-frequency-based analysis methods for monitoring of strip rolling mills A Rother, M Jelali, D Söffker Journal of Process Control 35, 65-79, 2015 | 48 | 2015 |
Water (stress) models and deficit irrigation: System-theoretical description and causality mapping F Kögler, D Söffker Ecological modelling, 2017 | 47 | 2017 |