OSCAR
DUQUE PEREZ
PROFESORES TITULARES DE UNIVERSIDAD
Universidad de Guanajuato
Guanajuato, MéxicoPublicaciones en colaboración con investigadores/as de Universidad de Guanajuato (16)
2020
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Time-frequency analysis based on minimum-norm spectral estimation to detect induction motor faults
Energies, Vol. 13, Núm. 15
2019
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Reassigned Short Time Fourier Transform and K-means method for diagnosis of broken rotor bar detection in VSD-fed induction motors
Advances in Electrical and Computer Engineering, Vol. 19, Núm. 2, pp. 61-68
2018
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An Experimental Comparative Evaluation of Machine Learning Techniques for Motor Fault Diagnosis under Various Operating Conditions
IEEE Transactions on Industry Applications
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Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors
ISA Transactions, Vol. 80, pp. 427-438
2017
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Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis
Electric Power Systems Research, Vol. 152, pp. 18-26
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Discriminating the lubrication condition from the rotor bearing fault in induction motors using Margenau-Hill frequency distribution and artificial neural networks
Industrial Lubrication and Tribology, Vol. 69, Núm. 6, pp. 970-979
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Early Fault Detection in Induction Motors Using AdaBoost with Imbalanced Small Data and Optimized Sampling
IEEE Transactions on Industry Applications, Vol. 53, Núm. 3, pp. 3066-3075
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Evaluation of intelligent approaches for motor diagnosis under changing operational conditions
Proceedings of the 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2017
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High-resolution Spectral Analysis for Fault Detection on Induction Motors Fed by Variable-Speed Drives
Journal of Scientific and Industrial Research, Vol. 76, Núm. 9, pp. 545-549
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Power consumption analysis of electrical installations at healthcare facility
Energies, Vol. 10, Núm. 1
2016
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Advances in Classifier Evaluation: Novel Insights for an Electric Data-Driven Motor Diagnosis
IEEE Access, Vol. 4, pp. 7028-7038
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Detection and diagnosis of lubrication and faults in bearing on induction motors through STFT
2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
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Rotor unbalance and broken rotor bar detection in inverter-fed induction motors at start-up and steady-state regimes by high-resolution spectral analysis
Electric Power Systems Research, Vol. 133, pp. 142-148
2015
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Supervised diagnosis of induction motor faults: A proposed methodology for an improved performance evaluation
Proceedings - SDEMPED 2015: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
2014
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Broken rotor bar detection in VSD-fed induction motors at startup by high-resolution spectral analysis
Proceedings - 2014 International Conference on Electrical Machines, ICEM 2014
2013
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Early broken rotor bar detection techniques in VSD-fed induction motors at steady-state
Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013