A systematic review on imbalanced learning methods in intelligent fault diagnosis
The theoretical developments of data-driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …
achievements and significantly benefited industry practices. However, most methods are …
A fault diagnosis method of rotating machinery based on one-dimensional, self-normalizing convolutional neural networks
J Yang, S Yin, Y Chang, T Gao - Sensors, 2020 - mdpi.com
Aiming at the fault diagnosis issue of rotating machinery, a novel method based on the deep
learning theory is presented in this paper. By combining one-dimensional convolutional …
learning theory is presented in this paper. By combining one-dimensional convolutional …