CTNet: A data-driven time-frequency technique for wind turbines fault diagnosis under time-varying speeds

被引：29
|
作者：
Zhao, Dezun [1 ]
Shao, Depei [1 ]
Cui, Lingli [1 ]
机构：
[1] Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing,100124, China
来源：
ISA Transactions | 2024年 / 154卷
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1016/j.isatra.2024.08.029
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：335 / 351
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