Rangel-Rodriguez, A.H.; Amezquita-Sanchez, J.P.; Granados-Lieberman, D.; Camarena-Martinez, D.; Bueno-Lopez, M.; Valtierra-Rodriguez, M.
A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals. Information 2025, 16, 775.
https://doi.org/10.3390/info16090775
AMA Style
Rangel-Rodriguez AH, Amezquita-Sanchez JP, Granados-Lieberman D, Camarena-Martinez D, Bueno-Lopez M, Valtierra-Rodriguez M.
A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals. Information. 2025; 16(9):775.
https://doi.org/10.3390/info16090775
Chicago/Turabian Style
Rangel-Rodriguez, Angel H., Juan P. Amezquita-Sanchez, David Granados-Lieberman, David Camarena-Martinez, Maximiliano Bueno-Lopez, and Martin Valtierra-Rodriguez.
2025. "A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals" Information 16, no. 9: 775.
https://doi.org/10.3390/info16090775
APA Style
Rangel-Rodriguez, A. H., Amezquita-Sanchez, J. P., Granados-Lieberman, D., Camarena-Martinez, D., Bueno-Lopez, M., & Valtierra-Rodriguez, M.
(2025). A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals. Information, 16(9), 775.
https://doi.org/10.3390/info16090775
