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基于 CEEMDAN 和 CNN-TSA-GRU 的 滚动轴承故障识别方法研究.
- Source :
- Light Industry Machinery; Aug2023, Vol. 41 Issue 4, p68-74, 7p
- Publication Year :
- 2023
-
Abstract
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Details
- Language :
- Chinese
- ISSN :
- 10052895
- Volume :
- 41
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Light Industry Machinery
- Publication Type :
- Academic Journal
- Accession number :
- 169720629
- Full Text :
- https://doi.org/10.3969/j.issn.1005-2895.2023.04.009