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1
Prognostics of rolling element bearing based on combined SS..:
, In:
2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
,
Zhang, Bangcheng
;
Song, Jingyuan
;
Li, Bo
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/SAFEPROCESS58597.2023.10295736
RT T1 <cTitle>2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)</cTitle>: T1 <Title>Prognostics of rolling element bearing based on combined SSA-VMD and CNN-BiGRU models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10295736&Exemplar=1&LAN=DE A1 Zhang, Bangcheng A1 Song, Jingyuan A1 Li, Bo A1 Gao, Zhi YR 2023 K1 Training K1 Adaptation models K1 Recurrent neural networks K1 Rolling bearings K1 Production K1 Predictive models K1 Feature extraction K1 Rolling element bearings K1 Degradation prediction K1 Convolutional Neural Network K1 Bidirectional Recurrent Neural Network K1 Attention mechanism SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SAFEPROCESS58597.2023.10295736 DO https://doi.org/10.1109/SAFEPROCESS58597.2023.10295736 SF ELIB - SuUB Bremen
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