Fault diagnosis of rolling bearing based on multi-scale and attention mechanism

被引：0
|
作者：
Ding, Xue [1 ,2 ]
Deng, Aidong [1 ,2 ]
Li, Jing [1 ,2 ,3 ]
Deng, Minqiang [1 ,2 ]
Xu, Shuo [1 ,2 ]
Shi, Yaowei [1 ,2 ]
机构：
[1] School of Energy and Environment, Southeast University, Nanjing,210096, China
[2] National Engineering Research Center of Turbo-Generator Vibration, Southeast University, Nanjing,210096, China
[3] School of Information Engineering, Nanjing Audit University, Nanjing,211815, China
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2022年 / 52卷 / 01期
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Failure analysis - Neural network models - Convolution - Computer aided diagnosis - Computerized tomography - Convolutional neural networks - Learning systems - Roller bearings - Extraction - Fault detection
引用
收藏
页码：172 / 178
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