An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies

Yiwei Wang , Jian Zhou , Lianyu Zheng , Christian Gogu (1)

1 ICA - Institut Clément Ader

Mots clés: Convolutional neural network; Vibration signals; Rotating machinery; Fault diagnostics

Domaines: Génie mécanique [physics.class-ph]; Machine Learning [stat.ML]

Yiwei Wang, Jian Zhou, Lianyu Zheng, Christian Gogu. An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies. Journal of Intelligent Manufacturing, 2020, ⟨10.1007/s10845-020-01671-1⟩. ⟨hal-03208499⟩