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北京航空航天大学 [19]
西安交通大学 [5]
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四川大学 [2]
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期刊论文 [27]
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浏览/检索结果:
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Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1345-1354
作者:
Ruihua Jiao
;
Kaixiang Peng
;
Jie Dong
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/06/11
Hot strip mill
prognostics and health management (PHM)
recurrent neural network (RNN)
remaining useful life (RUL)
roller management
A method for degradation prediction based on Hidden Semi-Markov models with mixture of Kernels
期刊论文
Computers in Industry, 2020, 卷号: 122, 页码: 1-13
作者:
Yang TJ(杨天吉)
;
Zheng ZY(郑泽宇)
;
Qi L(亓亮)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/08/29
Prognostics and health management
Remaining useful lifetime
Hidden semi-Markov models
Kernel method approximationa
Towards Prognostic and Health Management of Train Wheels in the Chinese Railway Industry
期刊论文
IEEE ACCESS, 2019, 卷号: Vol.7, 页码: 115292-115303
作者:
Shen, RY
;
Wang, TT
;
Luo, QZ
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
Prognostic and health management
train wheels
health status evaluation
prognostics
Ensemble of Models for Fatigue Crack Growth Prognostics
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 49527-49537
作者:
Hoang-Phuong Nguyen
;
Liu, Jie
;
Zio, Enrico
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Fatigue crack growth
multiple stochastic degradation
prognostics and health management
remaining useful life
particle filter
dynamic ensemble
Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications
期刊论文
APPLIED SOFT COMPUTING, 2018, 卷号: 72, 页码: 555-564
作者:
Lin, Yanhui
;
Li, Xudong
;
Hu, Yang
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  |  
浏览/下载:17/0
  |  
提交时间:2018/12/11
Feature learning
Auto-encoder
Extreme learning machines
Prognostics and health management
Motor bearing
Turbofan engine
Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 页码: 5872-5881
作者:
Jia, Xiaodong
;
Zhao, Ming
;
Di, Yuan
;
Yang, Qibo
;
Lee, Jay
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  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
prognostics and health management (PHM)
Detectability
maximum mean discrepancy (MMD)
diagnosis
trendability
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
期刊论文
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 卷号: 271, 页码: 775-796
作者:
Zhang, Zhengxin
;
Si, Xiaosheng
;
Hu, Changhua
;
Lei, Yaguo
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  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
Condition-based maintenance
Degradation modeling
Prognostics and health management
Reliability
Remaining useful life
Wiener process
Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity
期刊论文
IEEE Transactions on Reliability, 2018
作者:
Wang T.
;
Lu G.
;
Liu J.
;
Yan P.
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/11
Analytical models
Change detection
Condition monitoring
condition monitoring
graph modeling
health management
Measurement
Monitoring
Prognostics and health management
Reliability
Rotating machines
rotating machines
similarity metric
Dynamic-weighted ensemble for fatigue crack degradation state prediction
期刊论文
ENGINEERING FRACTURE MECHANICS, 2018, 卷号: 194, 页码: 212-223
作者:
Hoang-Phuong Nguyen
;
Liu, Jie
;
Zio, Enrico
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Prognostics and Health Management (PHM)
Recursive Bayesian
Dynamic ensemble
Multiple stochastic degradation
Fatigue crack growth
Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications
期刊论文
APPLIED SOFT COMPUTING, 2018, 卷号: 72, 页码: 555-564
作者:
Lin, Yanhui
;
Li, Xudong
;
Hu, Yang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Feature learning
Auto-encoder
Extreme learning machines
Prognostics and health management
Motor bearing
Turbofan engine
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