A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

标题
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
作者
关键词
Rolling-element bearings, Multivariate feedback extreme learning machine (MFELM), Small sample, Short-term prediction, Remaining useful life (RUL) prediction
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 144, Issue -, Pages 106899
出版商
Elsevier BV
发表日期
2020-04-24
DOI
10.1016/j.ymssp.2020.106899

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