[ 1 ] 谢天雨,董绍江 . 基于改进 CNN 的噪声以及变负载条件下滚动轴承故障诊断方法[ J ] . 噪声与振动控制,2021 , 41 ( 2 ): 111-117.[ 2 ] 米月花,霍国涛 . 多传感器信息融合的滚动轴承振动性能研究[ J ] . 机械科学与技术, 2021 , 40 ( 8 ): 1233-1239.
[ 3 ] SOOTHER D K , KALWAR I H , HUSSAIN T , et al. A novel method based on UNET for bearing fault diagnosis [ J ] .Computers , materials andcontinua , 2021 , 69( 1 ): 393-408.
[ 4 ] 张弘斌,袁奇,赵柄锡,等 . 采用多通道样本和深度卷积神经网络的轴承故障诊断方法[ J ] . 西安交通大学学报,2020 , 54 ( 8 ): 58-66.
[ 5 ] 张西宁,刘书语,余迪,等 . 改进深度卷积神经网络及其在变工况滚动轴承故障诊断中的应用[ J ] . 西安交通大学学报,2021 , 55 ( 6 ): 1-8.
[ 6 ] HABBOUCHE H , AMIRAT Y , BENKEDJOUH T , et al.Bearing fault event-triggered diagnosis using a variational mode decomposition-based machine learning approach [ J ] .IEEE Transactions on energy conversion ,2022 , 37 ( 1 ): 466-474.
[ 7 ] 张超,秦敏敏,张少飞 . 基于 1D CNN-XGBoost 的滚动轴承故障诊断 [ J ] . 机床与液压, 2022 , 50 ( 16 ):169-173.
[ 8 ] 王军敏,樊养余,李祖贺 . 基于深度卷积神经网络和迁移学习的纹理图像识别[ J ] . 计算机辅助设计与图形学学报,2022 , 34 ( 5 ): 701-710.
[ 9 ] OZCAN I H , DEVECIOGLU O C , INCE T , et al.Enhanced bearing fault detection using multichannel , multilevel 1D CNN classifier [ J ] .Electrical engineering ,2022 , 104 ( 2 ): 435-447.
[ 10 ] WANG J X , WANG D Z , WANG S H , et al.Fault diagnosis of bearings based on multi-sensor information fusion and 2D convolutional neural network [ J ] . IEEE Access , 2021 , 9 : 23717-23725.
[ 11 ] 郭双全 . 多卷积神经网络融合的滚动轴承故障识别方法[ J ] . 装备机械, 2021 ( 2 ): 79-84.
[ 12 ] 姚明镜,唐璇,吕昂 . 基于改进卷积神经网络的行星齿轮箱故障诊断研究[ J ] . 制造技术与机床,2021 ( 7 ):141-145.
[ 13 ] 蒙志强,董绍江,潘雪娇,等 . 基于改进卷积神经网络的滚动轴承故障诊断[ J ] . 组合机床与自动化加工技术,2020 ( 2 ): 79-83.
[ 14 ] ZHANG J Q , SUN Y , GUO L , et al.A new bearing fault diagnosis method based on modified convolutional neural networks [ J ] .Chinese journal of aeronautics , 2020 , 33 ( 2 ): 439-447.
[ 15 ] XU G W , LIU M , JIANG Z F , et al.Online fault diagnosis method based on transfer convolutional neural networks [ J ] .IEEE Transactions on instrumentation and measurement , 2020 , 69 ( 2 ): 509-520.
[ 16 ] 刘飞,陈仁文,邢凯玲,等 . 基于迁移学习与深度残差网络的滚动轴承快速故障诊断算法[ J ] . 振动与冲击, 2022 , 41 ( 3 ): 154-164.
[ 17 ] 郑海波,李志远,陈心昭 . 基于连续小波变换的齿轮故障诊断方法研究[ J ] . 机械工程学报, 2002 , 38 ( 3 ): 69-73.