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北京航空航天大学 [20]
西安交通大学 [5]
山东大学 [3]
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期刊论文 [21]
会议论文 [11]
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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:27/0
  |  
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
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 页码: 822-832
作者:
Peng, Yizhen
;
Wang, Yu
;
Zi, Yanyang
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  |  
浏览/下载:14/0
  |  
提交时间:2019/11/19
remaining useful life (RUL)
switching state-space model
prognostics
rao-blackwellized particle filter (RBPF)
Degradation
A Novel Lifetime Estimation Method for Two-Phase Degrading Systems
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2019, 卷号: 68, 期号: 2, 页码: 689-709
作者:
Zhang, Jian-Xun
;
Hu, Chang-Hua
;
He, Xiao
;
Si, Xiao-Sheng
;
Liu, Yang
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  |  
浏览/下载:38/0
  |  
提交时间:2019/12/11
Degradation
life prognostics
multi-phase Wiener process
reliability
remaining useful life (RUL) estimation
A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2019, 卷号: 68, 页码: 317-329
作者:
Fan, Mengfei
;
Zeng, Zhiguo
;
Zio, Enrico
;
Kang, Rui
;
Chen, Ying
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Degradation
dependent competing failure processes
Markov chain Monte Carlo
particle filtering
prognostics
random shocks
remaining useful life
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
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  |  
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
Long short-term memory for machine remaining life prediction
期刊论文
Journal of Manufacturing Systems, 2018, 卷号: 48, 页码: 78-86
作者:
Zhang, Jianjing
;
Wang, Peng
;
Yan, Ruqiang
;
Gao, Robert X.
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  |  
浏览/下载:43/0
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提交时间:2019/11/26
Computational technique
Health indices
Machine learning techniques
Nonlinear characteristics
Prognostics
Remaining life prediction
Remaining useful lives
Time-dependent structure
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
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 104, 页码: 799-834
作者:
Lei, Yaguo
;
Li, Naipeng
;
Guo, Liang
;
Li, Ningbo
;
Yan, Tao
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  |  
浏览/下载:12/0
  |  
提交时间:2019/11/26
Data acquisition
Health indicator construction
Health stage division
Machinery prognostics
Remaining useful life prediction
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 167-179
作者:
Wu, Yuting
;
Yuan, Mei
;
Dong, Shaopeng
;
Lin, Li
;
Liu, Yingqi
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Long short-term memory neural network
Remaining useful life estimation
Prognostics and health management
Dynamic differential feature
Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 62564-62573
作者:
Liu, Jie
;
Zio, Enrico
;
Hu, Yang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Prognostics
remaining useful life
particle filtering
parameters initialization
reliability test
failure times data
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