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A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Author(s):
Zuozhou Pan
,
Zong Meng
,
Zijun Chen
,
Wenqing Gao
,
Ying Shi
Publication date
Created:
October 2020
Publication date
(Print):
October 2020
Journal:
Mechanical Systems and Signal Processing
Publisher:
Elsevier BV
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Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei
,
Naipeng Li
,
Liang Guo
…
(2018)
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A recurrent neural network based health indicator for remaining useful life prediction of bearings
Liang Guo
,
Naipeng Li
,
Feng Jia
…
(2017)
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A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Biao Wang
,
Yaguo Lei
,
Naipeng Li
…
(2018)
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Author and article information
Contributors
Zuozhou Pan:
(View ORCID Profile)
Zong Meng:
(View ORCID Profile)
Journal
Title:
Mechanical Systems and Signal Processing
Abbreviated Title:
Mechanical Systems and Signal Processing
Publisher:
Elsevier BV
ISSN (Print):
08883270
Publication date Created:
October 2020
Publication date (Print):
October 2020
Volume
: 144
Page
: 106899
Article
DOI:
10.1016/j.ymssp.2020.106899
SO-VID:
9b152be8-7e9d-48bd-b06e-f542b532c978
Copyright ©
© 2020
License:
https://www.elsevier.com/tdm/userlicense/1.0/
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