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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：3/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	Failure mechanism tracing of the crankshaft for reciprocating High-Pressure plunger pump 期刊论文 Engineering Failure Analysis, 2022, 卷号: 141 作者: Dong, Jie; Zhao, Shendan; Wang, Zhongkai; Wei, Liejiang; Bian, Hailong 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/08/09 Crankshafts Fatigue of materials Fracture Outages Pumps Failure forms Failure mechanism Fatigue failures High pressure Plunger pumps Power machinery Reciprocating plunger pump Stress amplitudes Transition fillet Typical failures
	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：33/0 \| 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
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	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：17/0 \| 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：12/0 \| 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
	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：31/0 \| 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：21/0 \| 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：10/0 \| 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
	Multiresolution Hypergraph Neural Network for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10 作者: Yan,Xunshi; Liu Y(刘洋); Zhang CA(张陈安) 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/11/14 Convolution Fault diagnosis Correlation Task analysis Machinery Machine learning algorithms Laplace equations Fault diagnosis graph convolutional network (GCN) hypergraph hypergraph neural network (HGNN) multiresolution

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