Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input
Kolar, D.; Lisjak, D.; Pająk, M.; Pavković, D. Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input. Sensors 2020, 20, 4017. https://doi.org/10.3390/s20144017
Kolar D, Lisjak D, Pająk M, Pavković D. Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input. Sensors. 2020; 20(14):4017. https://doi.org/10.3390/s20144017
Chicago/Turabian StyleKolar, Davor, Dragutin Lisjak, Michał Pająk, and Danijel Pavković. 2020. "Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input" Sensors 20, no. 14: 4017. https://doi.org/10.3390/s20144017