Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder
| Author(s): |
Lei Wang
(School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, PR China)
Hang Rao (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, PR China) Zhengcheng Dong 
(School of Automation, Wuhan University of Technology, Wuhan, PR China)
Wenhui Zeng (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, PR China) Fan Xu (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, PR China) Li Jiang (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, PR China) Chao Zhou (Institute of Laser and Photonic Engineering, CASIC, Wuhan, PR China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2024, n. 5, v. 23 |
| Page(s): | 3084-3104 |
| DOI: | 10.1177/14759217231221214 |
- About this
data sheet - Reference-ID
10761088 - Published on:
23/03/2024 - Last updated on:
20/09/2024
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