Huerta-Rosales, J.R.; Granados-Lieberman, D.; Garcia-Perez, A.; Camarena-Martinez, D.; Amezquita-Sanchez, J.P.; Valtierra-Rodriguez, M.
Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA. Sensors 2021, 21, 3598.
https://doi.org/10.3390/s21113598
AMA Style
Huerta-Rosales JR, Granados-Lieberman D, Garcia-Perez A, Camarena-Martinez D, Amezquita-Sanchez JP, Valtierra-Rodriguez M.
Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA. Sensors. 2021; 21(11):3598.
https://doi.org/10.3390/s21113598
Chicago/Turabian Style
Huerta-Rosales, Jose R., David Granados-Lieberman, Arturo Garcia-Perez, David Camarena-Martinez, Juan P. Amezquita-Sanchez, and Martin Valtierra-Rodriguez.
2021. "Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA" Sensors 21, no. 11: 3598.
https://doi.org/10.3390/s21113598
APA Style
Huerta-Rosales, J. R., Granados-Lieberman, D., Garcia-Perez, A., Camarena-Martinez, D., Amezquita-Sanchez, J. P., & Valtierra-Rodriguez, M.
(2021). Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA. Sensors, 21(11), 3598.
https://doi.org/10.3390/s21113598
