Rohe, M.; Stoll, B.N.; Hildebrand, J.; Reimann, J.; Bergmann, J.P.
Detecting Process Anomalies in the GMAW Process by Acoustic Sensing with a Convolutional Neural Network (CNN) for Classification. J. Manuf. Mater. Process. 2021, 5, 135.
https://doi.org/10.3390/jmmp5040135
AMA Style
Rohe M, Stoll BN, Hildebrand J, Reimann J, Bergmann JP.
Detecting Process Anomalies in the GMAW Process by Acoustic Sensing with a Convolutional Neural Network (CNN) for Classification. Journal of Manufacturing and Materials Processing. 2021; 5(4):135.
https://doi.org/10.3390/jmmp5040135
Chicago/Turabian Style
Rohe, Maximilian, Benedict Niklas Stoll, Jörg Hildebrand, Jan Reimann, and Jean Pierre Bergmann.
2021. "Detecting Process Anomalies in the GMAW Process by Acoustic Sensing with a Convolutional Neural Network (CNN) for Classification" Journal of Manufacturing and Materials Processing 5, no. 4: 135.
https://doi.org/10.3390/jmmp5040135
APA Style
Rohe, M., Stoll, B. N., Hildebrand, J., Reimann, J., & Bergmann, J. P.
(2021). Detecting Process Anomalies in the GMAW Process by Acoustic Sensing with a Convolutional Neural Network (CNN) for Classification. Journal of Manufacturing and Materials Processing, 5(4), 135.
https://doi.org/10.3390/jmmp5040135
