Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions
| Author(s): |
Rui Yuan
(Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China)
Yong Lv
(Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China)
Zhiwen Lu (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China) Si Li (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China) Hewenxuan Li (Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, Kingston, RI, USA) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, May 2022, n. 2, v. 22 |
| Page(s): | 147592172210911 |
| DOI: | 10.1177/14759217221091131 |
- About this
data sheet - Reference-ID
10680443 - Published on:
18/06/2022 - Last updated on:
21/03/2023
Structurae cooperates with
