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科研机构
西安交通大学 [3]
山东大学 [2]
沈阳自动化研究所 [2]
北京航空航天大学 [1]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2019 [8]
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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
收藏
  |  
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
An Adaptive Prognostic Approach Incorporating Inspection Influence for Deteriorating Systems
期刊论文
IEEE Transactions on Reliability, 2019, 卷号: 68, 页码: 302-316
作者:
Zhang, Zheng-Xin
;
Si, Xiao-Sheng
;
Hu, Chang-Hua
;
Hu, Xiao-Xiang
;
Sun, Guo-Xi
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  |  
浏览/下载:18/0
  |  
提交时间:2019/11/19
Adaptation models
Degradation
Degradation modeling
Estimation
expectation maximization (EM) algorithm
first hitting time (FHT)
Gyroscopes
Inspection
Monte Carlo simulation
remaining useful life (RUL)
Schedules
Stress
Wiener process
Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 卷号: 185, 页码: 372-382
作者:
Chen Jinglong
;
Jing Hongjie
;
Chang Yuanhong
;
Liu Qian
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  |  
浏览/下载:14/0
  |  
提交时间:2019/11/19
Nonlinear deterioration
RUL prediction
Recurrent neural network
PHM
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation
期刊论文
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2019, 页码: 1-19
作者:
Xu CZ(须成忠)
;
Ye KJ(叶可江)
;
Yao QF(么庆丰)
;
Yang, Wensi
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2019/11/30
Convolutional neural networks
Empirical mode decomposition
Remaining useful life
Reliability
Remaining useful life estimation by empirical mode decomposition and ensemble deep convolution neural networks
会议论文
San Francisco, CA, United states, June 17-20, 2019
作者:
Zheng ZY(郑泽宇)
;
Yang TJ(杨天吉)
;
Yao QF(么庆丰)
;
Liu Z(刘智)
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  |  
浏览/下载:60/0
  |  
提交时间:2019/10/13
Neural Networks
Ensemble Learning
Empirical Mode Decomposition
Remaining Useful Life
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
收藏
  |  
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
FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2019, 卷号: 68, 期号: 3, 页码: 1021-1033
作者:
Zhang, Hanwen
;
Zhou, Donghua
;
Chen, Maoyin
;
Shang, Jun
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Continuous-time Markov chain (CTMC)
fractional Brownian motion (FBM)
long-range dependence
multiple modes degradation process
remaining
useful life (RUL)
Remaining Useful Life Prediction with Similarity Fusion of Multi-Parameter and Multi-Sample Based on the Vibration Signals of Diesel Generator Gearbox
期刊论文
ENTROPY, 2019, 卷号: 21
作者:
Zhou, Shenghan
;
Xu, Xingxing
;
Xiao, Yiyong
;
Chang, Wenbing
;
Qian, Silin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
remaining useful life (RUL)
similarity fusion
dynamic time warping
damage indicators extraction
approximate entropy variance
vibration monitoring
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