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Diagnosis of Stator Faults Severity in Induction Motors Using Two Intelligent Approaches.

, , , , and . IEEE Trans. Ind. Informatics, 13 (4): 1681-1691 (2017)

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A neural autonomous robotic manipulator with three degrees of freedom., , , , and . Int. J. Intell. Syst., 37 (9): 5597-5616 (2022)Voltage unbalance evaluation in the intelligent recognition of induction motor rotor faults., , , , and . Soft Comput., 24 (22): 16935-16946 (2020)Stator Short-Circuit Diagnosis in Induction Motors Using Mutual Information and Intelligent Systems., , , , , and . IEEE Trans. Ind. Electron., 66 (4): 3237-3246 (2019)Diagnosis of Stator Faults Severity in Induction Motors Using Two Intelligent Approaches., , , , and . IEEE Trans. Ind. Informatics, 13 (4): 1681-1691 (2017)Applying mindstorm in teaching and learning process and software project management., , , and . FIE, page 1-8. IEEE Computer Society, (2015)Neural approach for bearing fault classification in induction motors by using motor current and voltage., , , , and . IJCNN, page 2087-2092. IEEE, (2014)A novel multi-agent approach to identify faults in line connected three-phase induction motors., , , and . Appl. Soft Comput., (2016)Bearing fault identification of three-phase induction motors bases on two current sensor strategy., , , , and . Soft Comput., 21 (22): 6673-6685 (2017)Evaluation of stator winding faults severity in inverter-fed induction motors., , , and . Appl. Soft Comput., (2015)Intelligent systems applied on the estimation of bearing faults in inverter-fed induction motors., , , , and . IECON, page 1507-1512. IEEE, (2016)