Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions
Autor(en): |
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) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, Mai 2022, n. 2, v. 22 |
Seite(n): | 147592172210911 |
DOI: | 10.1177/14759217221091131 |
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Datenseite - Reference-ID
10680443 - Veröffentlicht am:
18.06.2022 - Geändert am:
21.03.2023