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基于 CEEMDAN 和 CNN-TSA-GRU 的 滚动轴承故障识别方法研究.

Authors :
陈博
魏豪
权伟
Source :
Light Industry Machinery; Aug2023, Vol. 41 Issue 4, p68-74, 7p
Publication Year :
2023

Abstract

<i>Copyright of Light Industry Machinery is the property of Light Industry Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

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