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兰州理工大学 [53]

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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：36/0 \| 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
	Real-time identification of performance degradation stages of rolling element bearings by RVCFI 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Meng, Jiadong; Yan, Changfeng; Wen, Tao; Wang, Zonggang; Chen, Guangyi 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/06/20 Condition based maintenance Condition monitoring Degradation Singular value decomposition Degradation stages Envelope spectra Fault time Initial faults Monitoring indicators Performance degradation Performance degradation stage Rate of variation coefficient of fused indicator Rolling Element Bearing Variation coefficient
	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：18/0 \| 提交时间：2022/07/19 Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
	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
	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：21/0 \| 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
	Multi-scale dynamic adaptive residual network for fault diagnosis 期刊论文 MEASUREMENT, 2022, 卷号: 188 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/03/01 Fault detection and classification Vibration Signals Bearing Defects Residual network Multi-scale dynamic adaptive residual network
	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：24/0 \| 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
	Improved VMD-FRFT based on initial center frequency for early fault diagnosis of rolling element bearing 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 卷号: 32, 期号: 11 作者: Chen, Guangyi; Yan, Changfeng; Meng, Jiadong; Wang, Huibin; Wu, Lixiao 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/10/14 bearing fault detection initial center frequency periodic impulses reciprocal of spectral autocorrelation smoothness index variational mode decomposition-fractional Fourier transform
	Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering 期刊论文 SHOCK AND VIBRATION, 2021, 卷号: 2021 作者: He, Tianjing; Zhao, Rongzhen; Wu, Yaochun; Yang, Chao 收藏 \| 浏览/下载：2/0 \| 提交时间：2021/10/14

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