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Dr. Mohammed Obaid Mustafa,  Asst. Prof
Dr. Mohammed Obaid Mustafa, Asst. Prof
University of Mosul, Collage of Engineering
Verified email at uomosul.edu.iq
Title
Cited by
Cited by
Year
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
762013
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
362016
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
272016
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
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
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
152014
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
On fault detection, diagnosis and monitoring for induction motors
MO Mustafa
Luleċ tekniska universitet, 2015
102015
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
82014
Faults detection and diagnosis for three phase induction machines. 2012
MO Mustafa
Luleċ tekniska universitet, 0
7
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
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
42015
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
32013
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
22021
A data fusion approach to bearing fault detection and diagnosis
G Georgoulas, G Nikolakopoulos, MO Mustafa
IEEE Communications Society, 2015
22015
A robust linear discrimination fault classification scheme for three phase induction motors
MO Mustafa, G Nikolakopoulos, T Gustafsson
2013 International Conference on Control, Decision and Information …, 2013
22013
Faults detection and diagnosis for three phase induction machines
MO Mustafa
Luleċ tekniska universitet, 2012
22012
Induction motor efficiency maximizing based on torque per power index
AM Abbas, N.M., Mustafa, M.O., Shakor
Indonesian Journal of Electrical Engineering and Computer Sciencethis link …, 2021
1*2021
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
12021
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