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Dr. Mohammed Obaid Mustafa,  Asst. Prof
Dr. Mohammed Obaid Mustafa, Asst. Prof
University of Mosul, Collage of Engineering
Geverifieerd e-mailadres voor uomosul.edu.iq
Titel
Geciteerd door
Geciteerd door
Jaar
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
G Georgoulas, MO Mustafa, IP Tsoumas, JA Antonino-Daviu, ...
Expert Systems with Applications 40 (17), 7024-7033, 2013
792013
Detecting broken rotor bars in induction motors with model-based support vector classifiers
MO Mustafa, D Varagnolo, G Nikolakopoulos, T Gustafsson
Control Engineering Practice 52, 15-23, 2016
352016
A fault detection scheme based on minimum identified uncertainty bounds violation for broken rotor bars in induction motors
MO Mustafa, G Nikolakopoulos, T Gustafsson, D Kominiak
Control Engineering Practice 48, 63-77, 2016
302016
Broken bars fault diagnosis based on uncertainty bounds violation for three‐phase induction motors
MO Mustafa, G Nikolakopoulos, T Gustafsson
International Transactions on Electrical Energy Systems 25 (2), 304-325, 2015
172015
Faults classification scheme for three phase induction motor
MO Mustafa, G Nikolakopoulos, T Gustafsson
International Journal of System Dynamics Applications (IJSDA) 3 (1), 1-20, 2014
162014
A fault diagnosis scheme for three phase induction motors based on uncertainty bounds
MO Mustafa, G Nikolakopoulos, T Gustafsson
IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012
162012
On fault detection, diagnosis and monitoring for induction motors
MO Mustafa
Luleå tekniska universitet, 2015
122015
Stator winding short circuit fault detection based on set membership identification for three phase induction motors
MO Mustafa, G Nikolakopoulos, T Gustafsson
2012 20th Mediterranean Conference on Control & Automation (MED), 290-296, 2012
122012
Principal component analysis anomaly detector for rotor broken bars
MO Mustafa, G Georgoulas, G Nikolakopoulos
IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014
92014
Optimal parameter values of PID controller for DC motor based on modified particle swarm optimization with adaptive inertia weight
MO Mustafa
Eastern-European Journal of Enterprise Technologies 1 (2), 109, 2021
72021
Compressed Extended Kalman Filter for Sensorless Control of Asynchronous Motor
OB Noori, MO Mustafa
Int. J. Energy Convers.(IRECON) 8, 200-211, 2020
72020
Faults detection and diagnosis for three phase induction machines. 2012
MO Mustafa
Luleå tekniska universitet, 0
7
Improving the performance of pitch angle control of variable speed wind energy conversion systems using fractional PI controller
ZJ Mohammed, SE Mohammed, MO Mustafa
2022 Iraqi International Conference on Communication and Information …, 2022
62022
Broken bar fault detection based on set membership identification for three phase induction motors
MO Mustafa, G Nikolakopoulos, T Gustafsson, B Saied
International Conference on Informatics in Control, Automation and Robotics …, 2012
62012
Experimental evaluation of a broken rotor bar fault detection scheme based on uncertainty bounds violation
MO Mustafa, G Nikolakopoulos, T Gustafsson
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013
52013
Bearing fault classification based on Minimum Volume Ellipsoid feature extraction
MO Mustafa, G Georgoulas, G Nikolakopoulos
2013 IEEE International Conference on Control Applications (CCA), 1177-1182, 2013
42013
Fault classification of broken rotor bars in induction motors based on envelope current analysis
MO Mustafa, G Nikolakopoulos, G Georgoulas
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015
32015
Adaptive Hybrid Pitch Angle Control and MPPT for PMSG-Based Wind Power Generator Systems.
ZJ Mohammed, MO Mustafa, SE Mohammed
International Journal on Energy Conversion 10 (5), 2022
22022
Broken Rotor Bars Fault Detection in Induction Motors Based on Current Envelope and Neural Network
MO Mustafa
Eastern-European Journal of Enterprise Technologies 3 (2), 111, 2021
22021
A data fusion approach to bearing fault detection and diagnosis
G Georgoulas, G Nikolakopoulos, MO Mustafa
IEEE Communications Society, 2015
22015
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Artikelen 1–20