Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

D Yang, HR Karimi, K Sun - Neural Networks, 2021 - Elsevier
This paper deals with the development of a novel deep learning framework to achieve highly
accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional …
被引用次数：79 相关文章

Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

D Yang, HR Karimi, K Sun - 2021 - dl.acm.org
This paper deals with the development of a novel deep learning framework to achieve highly
accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional …

Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples.

D Yang, HR Karimi, K Sun - Neural Networks: the Official Journal of …, 2021 - europepmc.org
This paper deals with the development of a novel deep learning framework to achieve highly
accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional …

[引用][C] Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

D Yang, HR Karimi, K Sun - NEURAL NETWORKS, 2021 - re.public.polimi.it
Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery
fault diagnosis with limited samples IRIS IRIS Home Sfoglia Macrotipologie & tipologie …

Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

D Yang, HR Karimi, K Sun - Neural networks: the official …, 2021 - pubmed.ncbi.nlm.nih.gov
This paper deals with the development of a novel deep learning framework to achieve highly
accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional …