Takip et
Dirk Soffker (Söffker, Soeffker)
Dirk Soffker (Söffker, Soeffker)
Professor, Dynamics and Control, University of Duisburg-Essen
uni-due.de üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
State-of-the-Art in Wind Turbine Control: Trends and Challenges
JG Njiri, D Söffker
Renewable and Sustainable Energy Reviews, 377-393, 2016
3892016
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
3061995
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
2982019
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
1542018
Wear detection by means of wavelet-based acoustic emission analysis
D Baccar, D Söffker
Mechanical Systems and Signal Processing 60, 198-207, 2015
1102015
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
1002016
Consideration of lifetime and fatigue load in wind turbine control
JG Njiri, N Beganovic, MH Do, D Söffker
Renewable energy 131, 818-828, 2019
942019
Chaotic motions and fault detection in a cracked rotor
PC Müller, J Bajkowski, D Söffker
Nonlinear Dynamics 5, 233-254, 1994
941994
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
931993
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
902021
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
902016
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
772014
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
742017
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
672019
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
632015
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
572019
Water (stress) models and deficit irrigation: System-theoretical description and causality mapping
F Kögler, D Söffker
Ecological modelling, 2017
562017
Improved driving behaviors prediction based on fuzzy logic-hidden markov model (fl-hmm)
Q Deng, D Söffker
2018 IEEE Intelligent Vehicles Symposium (IV), 2003-2008, 2018
552018
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
552017
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
542015
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Makaleler 1–20