Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning.
The hybrid electromagnetic and elastic foil gas bearing is explored based on the radial basis function (RBF) neural network in this study so as to improve its stabilization in work. The related principles and structure of hybrid electromagnetic and elastic foil gas bearings is introduced firstly. Th...
Saved in:
| Main Authors: | Xiangxi Du, Yanhua Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0243107&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance for rotor system of hybrid electromagnetic bearing and elastic foil gas bearing with dynamic characteristics analysis under deep learning.
by: Xiangxi Du, et al.
Published: (2021-01-01) -
Preliminary Studies on Gas Foil Thrust Bearings with Stepped Foils
by: Supreeth Shivakumar, et al.
Published: (2024-09-01) -
Effects of Foil Bearing Load on Working Foil Wear
by: Bartosz MOCZULAK, et al.
Published: (2022-12-01) -
Characteristic Analysis of Bump Foil Gas Bearing Under Multi-Physical Field Coupling
by: Daixing Lu, et al.
Published: (2025-07-01) -
ANALYSIS OF INFLUENCE OF LUBRICATING GAS ON STATIC CHARACTERISTICS OF THE FOIL HYDRODYNAMIC THRUST GAS BEARING
by: LU Pan, et al.
Published: (2018-01-01)