1. 基于 DRS 与改进 Autogram 的风电齿轮箱 复合故障特征提取.
- Author
-
马海飞, 滕伟, 彭迪康, 柳亦兵, and 靳涛
- Abstract
Copyright of Electric Power is the property of Electric Power 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. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF