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Predicting Remaining Useful Life of Rolling Bearings Based on Reliable Degradation Indicator and Temporal Convolution Network with the Quantile Regression

High precision and multi information prediction results of bearing remaining useful life (RUL) can effectively describe the uncertainty of bearing health state and operation state. Aiming at the problem of feature efficient extraction and RUL prediction during rolling bearings operation degradation...

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Sábháilte in:
Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Qiaoping Tian, Honglei Wang
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: MDPI AG 2021-05-01
Sraith:Applied Sciences
Ábhair:
Rochtain ar líne:https://www.mdpi.com/2076-3417/11/11/4773
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