A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features
发布时间:2021-06-03
点击次数:
DOI码:10.1109/TIM.2020.3042315
发表刊物:IEEE Transactions on Instrumentation and Measurement
合写作者:李朝阳, 周梓桐
第一作者:谢劲松
通讯作者:刘斯斯
卷号:70
页面范围:3506709
是否译文:否
发表时间:2020-12-07