Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds
| Author(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)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, May 2021, n. 2, v. 21 |
| Page(s): | 147592172199895 |
| DOI: | 10.1177/1475921721998957 |
- About this
data sheet - Reference-ID
10603558 - Published on:
17/04/2021 - Last updated on:
24/02/2022
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