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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:10/0
  |  
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:40/0
  |  
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
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  |  
浏览/下载:36/0
  |  
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:26/0
  |  
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
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  |  
浏览/下载:12/0
  |  
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
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浏览/下载:7/0
  |  
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:8/0
  |  
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:21/0
  |  
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:15/0
  |  
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:11/0
  |  
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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