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1 Ergebnisse
1
Remaining useful lifetime prediction of rolling bearing bas..:
, In:
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)
,
Ma, Xinna
;
Niu, Tianyun
;
Liu, Xinru
.. - p. 299-304 , 2022
Link:
https://doi.org/10.1109/ICCEAI55464.2022.00069
RT T1 <cTitle>2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)</cTitle>: T1 <Title>Remaining useful lifetime prediction of rolling bearing based on ConvNext and multi-feature fusion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9853358&Exemplar=1&LAN=DE A1 Ma, Xinna A1 Niu, Tianyun A1 Liu, Xinru A1 Luan, Haonan A1 Zhao, Shangjun YR 2022 K1 Degradation K1 Frequency-domain analysis K1 Rolling bearings K1 Predictive models K1 Feature extraction K1 Market research K1 Convolutional neural networks K1 component K1 ConvNext K1 multi-feature fusion K1 Principal Component Analysis K1 health indicator K1 double exponential model K1 remaining useful lifetime prediction SP 299 OP 304 LK http://dx.doi.org/https://doi.org/10.1109/ICCEAI55464.2022.00069 DO https://doi.org/10.1109/ICCEAI55464.2022.00069 SF ELIB - SuUB Bremen
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