ELVIRA ORTIZ, DAVID ALEJANDRO
INGENIERÍA · Nivel 1
Desde 2018 es en Universidad Autonoma de Queretaro
David Alejandro Elvira-Ortiz received the B.E. degree from University of Guanajuato, Mexico, in 2013 and the M.Sc. degree (with honors) from the Autonomous University of Queretaro, Mexico, in 2015. Currently, he is a Ph.D. student at the Autonomous University of...
David Alejandro Elvira-Ortiz received the B.E. degree from University of Guanajuato, Mexico, in 2013 and the M.Sc. degree (with honors) from the Autonomous University of Queretaro, Mexico, in 2015. Currently, he is a Ph.D. student at the Autonomous University of Queretaro, Mexico. His research interests include hardware signal processing on FPGA and applied Mechatronics.
| Nombre | DAVID ALEJANDRO ELVIRA ORTIZ |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA MECATRÓNICA |
| Especialidad | OTRAS |
| CVU | 558497 |
| Institución | |
|---|---|
| Dependencia | FACULTAD DE INGENIERIA |
| Entidad | QUERETARO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2024 |
| Fin: 31/12/2028 |
Últimas publicaciones Scopus
- 2026
- Rotating Electromechanical System Dataset for Condition Monitoring Scientific Data · Vol. 13 Data Paper
- 2025
- Non-contact intelligent fault diagnosis based on thermography, unsupervised feature modelling and deep-feature learning for assessing faults in electromechanical systems Infrared Physics and Technology · Vol. 150 Article
- An Entropy–Envelope Approach for the Detection and Quantification of Power Quality Disturbances Applied Sciences Switzerland · Vol. 15 Article
- Non-invasive diagnosis methodology based on infrared thermography and deep feature learning for detecting multiple faults in electromechanical systems Measurement Journal of the International Measurement Confederation · Vol. 250 Article
- Detection of Broken Rotor Bars in Induction Motors Under Oscillating Load Through Bidimensional Entropy and Time-Frequency Maps Proceedings of the 15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines Power Electronics and Drives Sdemped 2025 Conference Paper
