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	Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network
	Wang, F.; Liu, X.; Deng, G.; Yu, X.; Li, H.; Han, Q.
刊名	Neural Processing Letters
	2019
关键词	Brain Degradation Forecasting Frequency domain analysis Roller bearings Time domain analysis, Feature parameters Life predictions Related-similarity features Remaining life prediction Remaining useful life predictions Residual life prediction Support vector regression machines Trained neural networks, Long short-term memory
ISSN号	13704621
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3224621
专题	大连理工大学
作者单位	1.Wang, F. 2.Liu, X. 3.Deng, G. 4.Yu, X. 5.Li, H. 6.Han, Q.
推荐引用方式 GB/T 7714	Wang, F.,Liu, X.,Deng, G.,et al. Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network[J]. Neural Processing Letters,2019.
APA	Wang, F.,Liu, X.,Deng, G.,Yu, X.,Li, H.,&Han, Q..(2019).Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network.Neural Processing Letters.
MLA	Wang, F.,et al."Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network".Neural Processing Letters (2019).

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