Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-485-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-485-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Research article
 | 
03 Jun 2022
Research article |  | 03 Jun 2022

Modelling and predictive investigation on the vibration response of a propeller shaft based on a convolutional neural network

Xin Shen, Qianwen Huang, and Ge Xiong

Viewed

Total article views: 662 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
515 135 12 662 11 10
  • HTML: 515
  • PDF: 135
  • XML: 12
  • Total: 662
  • BibTeX: 11
  • EndNote: 10
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads (calculated since 03 Jun 2022)

Viewed (geographical distribution)

Total article views: 626 (including HTML, PDF, and XML) Thereof 626 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
A new measurement method for the dynamical response of a marine propeller shaft with lower cost, simple maintenance and high accuracy is proposed. The shaft vibration predicted from the vibration signals of the bearings is easy to measure. The convolutional neural network can fit the nonlinear relationship between the vibration signals of the bearing and propeller shaft.
Read more