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科研机构
西安交通大学 [3]
清华大学 [2]
北京航空航天大学 [2]
华南理工大学 [2]
工程热物理研究所 [2]
重庆大学 [1]
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期刊论文 [13]
会议论文 [4]
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2021 [1]
2020 [2]
2019 [2]
2018 [1]
2017 [3]
2013 [1]
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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
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浏览/下载:13/0
  |  
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)
An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples
期刊论文
Renewable Energy, 2020, 卷号: 145, 页码: 642-650
-
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浏览/下载:27/0
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提交时间:2020/01/03
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)
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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
Application of reliability technologies in civil aviation: Lessons learnt and perspectives
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2019, 卷号: 32, 页码: 143-158
作者:
Zio, Enrico
;
Fan, Mengfei
;
Zeng, Zhiguo
;
Kang, Rui
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Civil aviation
Commercial aircraft
Fault diagnosis and prognosis
Human reliability analysis
Maintenance
Quality control
Reliability design
Reliability engineering
Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model
会议论文
2019-01-01
作者:
Fan, Lei
;
Wang, Shaoping
;
Duan, Haibin
;
Ran, Hongliang
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Diagnosis and Prognosis of Degradation Process via Hidden Semi-Markov Model
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 卷号: 23, 期号: 3, 页码: 1456-1466
作者:
Liu, Tongshun
;
Zhu, Kunpeng
;
Zeng, Liangcai
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浏览/下载:33/0
  |  
提交时间:2019/11/12
Degradation process
forward-backward algorithm
health monitoring
Hidden semi-Markov
remaining useful life (RUL)
Special Issue: Wind Turbine Condition Monitoring, Diagnosis and Prognosis
期刊论文
IET RENEWABLE POWER GENERATION, 2017, 卷号: 11, 页码: 373-373
作者:
Yan, Ruqiang
;
Chen, Xuefeng
;
Yang, Wenxian
;
Kusiak, Andrew
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浏览/下载:3/0
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提交时间:2019/11/26
maintenance engineering
renewable energy
wind turbines
operational risk
prognosis
fault diagnosis
operational costing
maintenance
condition monitoring
power generation faults
turbine technology
failure analysis
availability
costing
power generation economics
Fault diagnosis and prognosis of wastewater processes with incomplete data by the auto-associative neural networks and ARMA model
期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 161, 页码: 96-107
作者:
Xiao, Hongjun[1]
;
Huang, Daoping[2]
;
Pan, Yongping[3]
;
Liu, Yiqi[2]
;
Song, Kang[2,4]
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浏览/下载:109/0
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提交时间:2019/04/24
Auto-associative Neural Networks
Fault diagnosis
Fault prognosis
Incomplete data
Wastewater
Automatic segmentation and prognostic method of a turbofan engine using manifold learning and spectral clustering algorithms
期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2017, 卷号: 9, 页码: 1-11
作者:
Qiu, Guangqi[1]
;
Huang, Si[1]
;
Chen, Yu[1]
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浏览/下载:2/0
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提交时间:2019/04/24
Turbofan engine
automatic segmentation
fault diagnosis
fault prognosis
Laplacian eigenmaps
adaptive spectral clustering
Rolling element bearings fault diagnosis based on physical model identification
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2013, 卷号: 33, 期号: [db:dc_citation_issue], 页码: 12-17
作者:
Yuan, Xing
;
Zhu, Yongsheng
;
Zhang, Youyun
;
Hong, Jun
;
Zhou, Zhi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Blind deconvolution
Fault feature extractions
Identification approach
Incipient fault prognosis
Laplace wavelet
Model identification
Physical model identification
Rolling Element Bearing
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