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西安交通大学 [50]

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	Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文 JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12 作者: He, Deqiang; Zou, Xueyan; Jin, Zhenzhen; Yan, Jingren; Ren, Chonghui 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/07 intelligent fault diagnosis train bearing improved sooty tern optimization algorithm variational mode decomposition deep convolutional neural network
	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：14/0 \| 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：15/0 \| 提交时间：2022/07/19 Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
	An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 卷号: 41, 期号: 8, 页码: 179-187 作者: Chen, Peng; Zhao, Xiaoqiang 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/06/20 Failure analysis Fault detection Spectrum analysis Bearing Composite fault Early composite fault diagnose Envelope spectra Faults diagnosis Grasshopper optimization algorithm Negentropy Optimization algorithms Square envelope spectrum negentropy Swarm decomposition
	Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Wang, Sihan; Tan, Jie; Liu, Chengbao 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/06 Fault diagnosis Data models Task analysis Representation learning Adaptation models Training data Training Convolutional neural network (CNN) data-driven fault diagnosis domain generalization (DG) model-agnostic learning rolling bearing
	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
	A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 卷号: 33, 期号: 1, 页码: 1-17 作者: Wang Y(王煜); Gao J(高洁); Wang W(王伟); Du JS(杜劲松); Yang X(杨旭) 收藏 \| 浏览/下载：9/0 \| 提交时间：2021/11/08 domain adaptation bearing fault diagnosis adversarial network attention mechanism
	Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system 期刊论文 MEASUREMENT, 2021, 卷号: 171, 页码: 11 作者: Yan Xunshi; 张陈安4); Liu Y(刘洋) 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/03/30 Fault diagnosis Convolutional neural network Active magnetic bearing Multi-sensor fusion Shaft orbit
	A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者: Zhao-Hua Liu 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/07/20 Deep learning fault diagnosis fault prognosis long and short time memory network (LSTM) rolling bearing rotating machinery regularization remaining useful life prediction (RUL) recurrent neural network (RNN)
	A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者: Qiang Li 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/11/26 Fault diagnosis structural element multi-scale mathematical morphology rolling bearing correlation analysis

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