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	Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18 作者: Wang, Huanjie; Li, Yuan; Bai, Xiwei; Li, Jingwei; Tan, Jie 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202 作者: Du, Xianjun; Jia, Wenchao; Yu, Ping; Shi, Yaoke; Cheng, Shengyi 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/09/22 Convolution Forecasting Preventive maintenance Rotating machinery Vibrations (mechanical) Wavelet transforms Attention mechanisms Continuous Wavelet Transform Convolutional neural network Degradation trend Feature map Remaining useful life predictions Rolling bearings Spectral feature Time frequency Time–frequency spectral feature map
	Fault diagnosis based on SPBO-SDAE and transformer neural network for rotating machinery 期刊论文 MEASUREMENT, 2022, 卷号: 188 作者: Du, Xianjun; Jia, Liangliang; Ul Haq, Izaz 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/03/01 Fault diagnosis Rotating machinery Hyper parameter optimization Feature self-extraction Transformer neural network Self attention mechanism
	Analysis of coasting-down hydrodynamic characteristics of sodium pump in the primary circuit of fast reactor 期刊论文 International Journal of Fluid Machinery and Systems, 2022, 卷号: 15, 期号: 2, 页码: 235-245 作者: Congxin, Yang; Xin, Luo; Chen, Qian 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/08/09 Drops Hydrodynamics Nuclear fuels Nuclear power plants Pressure distribution Rotating machinery Sodium Speed Turbulence models Circulating pumps Coasting-down characteristic Flowrate ratio Hydrodynamic characteristics Main circulating pump Model pump Pressure pulsation Primary circuits Rotating speed Uniformity of pressure distributions
	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration
	A new fault feature extraction method of rotating machinery based on finite sample function 期刊论文 Noise and Vibration Worldwide, 2021, 卷号: 52, 期号: 6, 页码: 137-144 作者: Miao, Feng; Zhao, Rongzhen 收藏 \| 浏览/下载：4/0 \| 提交时间：2021/06/03 Extraction Feature extraction Rotating machinery Sampling Composite fault Fault feature extractions Higher efficiency Kernel function Rub impact fault Separation performance Super-Gaussian sources Vibration signal
	Dimensional reduction analysis of rotating machinery fault data based on local centroid mean minimum-distance discriminant projection 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 421-430 作者: Shi, Ming-Kuan; Zhao, Rong-Zhen 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Dimensionality reduction Pattern recognition Rotating machinery Dimension reduction Dimension reduction algorithm Dimensional reduction Fault identifications High dimensional feature K nearest centroid neighbors Local geometric structures Strong nonlinearity
	Fault diagnosis of rotor based on Local-Global Balanced Orthogonal Discriminant Projection 期刊论文 Measurement: Journal of the International Measurement Confederation, 2021, 卷号: 168 作者: Shi, Mingkuan; Zhao, Rongzhen; Wu, Yaochun; He, Tianjing 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Fault detection Frequency domain analysis Nearest neighbor search Rotating machinery Time domain analysis Application examples Complex characteristics Discriminant informations High dimensional feature Inter-class distance K-nearest neighbor method Structure information Time frequency domain
	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)
	Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network 期刊论文 PROCESSES, 2021, 卷号: 9, 期号: 1, 页码: 1-25 作者: Liu YY(刘意杨); Yang YS(杨友胜); Feng TY(冯铁); Sun Y(孙懿); Zhang XJ(张雪健) 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/02/14 hierarchical fault diagnosis energy spectrum matrix dynamic adjustment of the learning rate convolutional neural network rotating machinery

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