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Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique.

, , and . IEEE Trans. Ind. Electron., 60 (9): 4053-4062 (2013)

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Classification of Induction Machine Faults by Optimal Time-Frequency Representations., and . IEEE Trans. Ind. Electron., 55 (12): 4290-4298 (2008)A Novel Deep Soft Clustering for Unsupervised Univariate Times Series., , and . ICPHM, page 1-8. IEEE, (2021)Preliminary Design of Energy Storage System and Bidirectional DC-DC Converter for Aircraft application., , , , , , and . ISIE, page 2547-2552. IEEE, (2019)The use of features selection and nearest neighbors rule for faults diagnostic in induction motors., , , and . Eng. Appl. Artif. Intell., 19 (2): 169-177 (2006)Supercapacitors ageing prediction by neural networks., , , , , , , and . IECON, page 6812-6818. IEEE, (2013)Determination of the electric vehicles driving modes in real life conditions by classification methods., , , , and . ICIT, page 2060-2065. IEEE, (2018)Hybrid diagnosis of intern-turn short-circuit for aircraft applications using SVM-MBF., , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Identification of a roller screw for diagnosis of flight control actuator., , , , and . ICPHM, page 1-8. IEEE, (2016)Health monitoring of metallized film capacitors using Neo Fuzzy Neural approach., , , , , and . ISIE, page 1266-1271. IEEE, (2015)Test bench and data analysis towards an on-line Health Monitoring for emerging power modules., , , , and . IECON, page 1531-1536. IEEE, (2018)