Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds
| Auteur(s): |
Li Xin
(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China)
Shao Haidong
(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China)
Jiang Hongkai (School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China) Xiang Jiawei
(College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China)
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|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, mai 2021, n. 2, v. 21 |
| Page(s): | 147592172199895 |
| DOI: | 10.1177/1475921721998957 |
- Informations
sur cette fiche - Reference-ID
10603558 - Publié(e) le:
17.04.2021 - Modifié(e) le:
24.02.2022
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