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	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA 期刊论文 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2022, 卷号: 36, 期号: 7, 页码: 3263-3276 作者: Huang, Hua; Xue, Wenhu; Pang, Qianzhi 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/07/19 Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
	Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Xing, Ziyang 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/06/20 Convolutional neural networks Machinery Class spaces Convolutional neural network Fault identifications Identification method Imbalanced data Intelligent fault diagnosis Min-max Min-max objective func-tion Net work Objective functions
	Method to enhance deep learning fault diagnosis by generating adversarial samples 期刊论文 Applied Soft Computing, 2022, 卷号: 116 作者: Cao, Jie; Ma, Jialin; Huang, Dailin; Yu, Ping; Wang, Jinhua 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/21 Accident prevention Complex networks Convolutional neural networks Fault detection Generative adversarial networks Machinery Recurrent neural networks Signal to noise ratio Adversarial-signal generative adversarial network Convolutional neural network Fault diagnosis method Faults diagnosis Industrial fields Learning models Mechanical equipment Multilayers perceptrons Original sample Three models
	Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance 期刊论文 APPLIED INTELLIGENCE, 2022 作者: Xing, Ziyang; Zhao, Rongzhen; Wu, Yaochun; He, Tianjing 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/04/21 Deep learning Imbalanced data Fault diagnosis Loss function
	Unsupervised domain adaptation of bearing fault diagnosis based on Join Sliced Wasserstein Distance 期刊论文 ISA Transactions, 2022 作者: Chen, Pengfei; Zhao, Rongzhen; He, Tianjing; Wei, Kongyuan; Yang, Qidong 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/07/20 Bearings (machine parts) Deep neural networks Fault detection Large dataset Probability distributions Bearing fault diagnosis Conditional probabilities Domain adaptation Faults diagnosis Mechanical faults diagnosis Mechanical systems Noise interference Pseudo label Sliced wasserstein distances Unsupervised domain adaptation
	Intelligent identification of incipient rolling bearing faults based on VMD and PCA-SVM 期刊论文 ADVANCES IN MECHANICAL ENGINEERING, 2022, 卷号: 14, 期号: 1 作者: Deng, Linfeng; Zhang, Aihua; Zhao, Rongzhen 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/03/01 Incipient rolling bearing faults intelligent identification energy and kurtosis variational mode decomposition principal component analysis support vector machine
	An optimal method based on HOG-SVM for fault detection 期刊论文 MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 页码: 1-16 作者: Xu, Panfeng; Huang, Lidong; Song Y(宋岩) 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/02/04 Fault detection Feature extraction Image classification Support vector machine
	Fast Fault Diagnosis System Based on Data Mining AR Algorithm 会议论文 Nanjing, China, 2021-10 作者: Yu Yahan; Du Juan; Ren Guanghao; Tan Yao; Wang Jian 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/06/02

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