A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning
| Author(s): |
Hongyu Zhong
(Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China)
Samson Yu (Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia) Hieu Trinh (Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia) 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)
Yanan Wang (Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241241985 |
- About this
data sheet - Reference-ID
10789366 - Published on:
20/06/2024 - Last updated on:
20/06/2024
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