Granados-Lieberman, D.; Huerta-Rosales, J.R.; Gonzalez-Cordoba, J.L.; Amezquita-Sanchez, J.P.; Valtierra-Rodriguez, M.; Camarena-Martinez, D.
Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals. Appl. Sci. 2023, 13, 12218.
https://doi.org/10.3390/app132212218
AMA Style
Granados-Lieberman D, Huerta-Rosales JR, Gonzalez-Cordoba JL, Amezquita-Sanchez JP, Valtierra-Rodriguez M, Camarena-Martinez D.
Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals. Applied Sciences. 2023; 13(22):12218.
https://doi.org/10.3390/app132212218
Chicago/Turabian Style
Granados-Lieberman, David, Jose R. Huerta-Rosales, Jose L. Gonzalez-Cordoba, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, and David Camarena-Martinez.
2023. "Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals" Applied Sciences 13, no. 22: 12218.
https://doi.org/10.3390/app132212218
APA Style
Granados-Lieberman, D., Huerta-Rosales, J. R., Gonzalez-Cordoba, J. L., Amezquita-Sanchez, J. P., Valtierra-Rodriguez, M., & Camarena-Martinez, D.
(2023). Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals. Applied Sciences, 13(22), 12218.
https://doi.org/10.3390/app132212218
