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科研机构
兰州理工大学 [2]
自动化研究所 [2]
内容类型
期刊论文 [4]
发表日期
2022 [4]
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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:32/0
  |  
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
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1427-1439
作者:
Ruibing Jin
;
Min Wu
;
Keyu Wu
;
Kaizhou Gao
;
Zhenghua Chen
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  |  
浏览/下载:16/0
  |  
提交时间:2022/08/01
Convolutional neural network (CNN)
deep learning
position encoding
remaining useful life prediction
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
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  |  
浏览/下载:20/0
  |  
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
An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 907-921
作者:
Zhenan Pang
;
Xiaosheng Si
;
Changhua Hu
;
Zhengxin Zhang
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浏览/下载:45/0
  |  
提交时间:2022/04/24
Expectation-maximization (EM)
hidden degradation state
Kalman filter (KF)
remaining useful life (RUL)
unit-to-unit variability
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