Saucedo-Dorantes, J.-J.; Zamudio-Ramirez, I.; Cureno-Osornio, J.; Osornio-Rios, R.A.; Antonino-Daviu, J.A.
Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network. Appl. Sci. 2021, 11, 8033.
https://doi.org/10.3390/app11178033
AMA Style
Saucedo-Dorantes J-J, Zamudio-Ramirez I, Cureno-Osornio J, Osornio-Rios RA, Antonino-Daviu JA.
Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network. Applied Sciences. 2021; 11(17):8033.
https://doi.org/10.3390/app11178033
Chicago/Turabian Style
Saucedo-Dorantes, Juan-Jose, Israel Zamudio-Ramirez, Jonathan Cureno-Osornio, Roque Alfredo Osornio-Rios, and Jose Alfonso Antonino-Daviu.
2021. "Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network" Applied Sciences 11, no. 17: 8033.
https://doi.org/10.3390/app11178033
APA Style
Saucedo-Dorantes, J.-J., Zamudio-Ramirez, I., Cureno-Osornio, J., Osornio-Rios, R. A., & Antonino-Daviu, J. A.
(2021). Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network. Applied Sciences, 11(17), 8033.
https://doi.org/10.3390/app11178033
