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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：32/0 \| 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：13/0 \| 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
	Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient 期刊论文 ISA Transactions, 2022 作者: Li, Qiang; Yan, Changfeng; Chen, Guangyi; Wang, Huibin; Li, Hongkun 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/07/20 Condition based maintenance Economic and social effects Forecasting Frequency domain analysis Genetic algorithms Health Health risks Roller bearings Singular value decomposition Degradation state Degradation state coefficient Genetic algorithm-support vector regression Health indicators Mode decomposition Modified health indicator Remaining useful lives Risks assessments Support vector regressions Variational mode decomposition-singular value decomposition
	Health Condition Identification of Rolling Element Bearing Based on Gradient of Features Matrix and MDDCs-MRSVD 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71, 页码: 1-1 作者: Meng, Jiadong; Yan, Changfeng; Wang, Zonggang; Wen, Tao; Chen, Guangyi 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/08/09 Condition based maintenance Condition monitoring Health Interactive computer systems Roller bearings Feature matrices Gradient Health condition Initial faults Maximal difference of detail component in multi-resolution singular value decomposition algorithm Monitoring indicators Real Time system Rolling Element Bearing Singular value decomposition algorithms Vibration
	Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network 期刊论文 Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Ma, Sencai 收藏 \| 浏览/下载：3/0 \| 提交时间：2021/06/03 Convolution Deep learning Failure analysis Fault detection Learning systems Roller bearings Semi-supervised learning Vibration analysis Class probabilities Diagnosis performance Intelligent fault diagnosis Inter-class distance Learning methods Maximum margin criterions Rolling bearings Vibration signal
	A New Method of Fault Feature Extraction Based on Hierarchical Dispersion Entropy 期刊论文 Shock and Vibration, 2021, 卷号: 2021 作者: Chen, Peng; Zhao, Xiaoqiang; Jiang, Hongmei 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/04/12 Dispersions Entropy Extraction Failure analysis Feature extraction Gaussian noise (electronic) Nearest neighbor search Roller bearings Signal processing White noise Fault diagnosis method Fault feature extractions Feature information Gaussian white noise K-nearest neighbor classifiers (KNN) Low frequency band Rolling bearings Vibration signal
	Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson-Kessel Clustering 期刊论文 Shock and Vibration, 2020, 卷号: 2020 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Deng, Linfeng; He, Tianjing 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/02/18 Clustering algorithms Convolution Convolutional neural networks Deep learning Deep neural networks Failure analysis Roller bearings Stochastic systems
	5-DOF Dynamic Modeling of Rolling Bearing with Local Defect considering Comprehensive Stiffness under Isothermal Elastohydrodynamic Lubrication 期刊论文 Shock and Vibration, 2020, 卷号: 2020 作者: Yan, Pengfei; Yan, Changfeng; Wang, Kai; Wang, Fengtao; Wu, Lixiao 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/11/14 Defects Degrees of freedom (mechanics) Film thickness Isotherms Lubricating oils Roller bearings Stiffness Degree of freedom (dof) Elastohydrodynamic lubrications (EHL) Isothermal elastohydrodynamic lubrication Life predictions Lubrication oil film Oil film thickness Vibration amplitude Vibration characteristics
	A new dynamic balancing method of spindle based on the identification energy transfer coefficient 期刊论文 Journal of Mechanical Science and Technology, 2019, 卷号: 33, 期号: 10, 页码: 4595-4604 作者: Yun, Xialun; Mei, Xuesong; Jiang, Gedong; Wang, Baomin 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Balancing Energy transfer Newton-Raphson method Roller bearings Balance methods Dynamic balancing Energy transfer coefficients Identification precision Influence-coefficient method Newton-Raphson algorithm Rotor systems Spindle
	Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 416-423 作者: Zhao, Rongzhen; Li, Jipu; Deng, Linfeng 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/11/14 Correlation methods Entropy Failure analysis Fault detection Principal component analysis Roller bearings Wavelet transforms Bearing fault diagnosis Correlation analysis Fault diagnosis method GG clustering Intrinsic mode components Mode combination method Non stationary characteristics Permutation entropy

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