Crossmark

A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components

Published Online: 2022-02-22

Published Print: 2022-07

Authors

Yang, Jingli http://orcid.org/0000-0003-4865-0339
Yin, Shuangyan

Sun, Chao

Gao, Tianyu
Funding

Funding for this research was provided by:

Natural Science Foundation of Heilongjiang Province of China (LH2021F021)
License Information

Text and Data Mining valid from 2022-02-22

Version of Record valid from 2022-02-22
More Information

Article History

Received: 12 August 2021

Accepted: 30 January 2022

First Online: 22 February 2022

Declarations

:

: The authors declare that they have no conflict of interest.

Document is current