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1 Ergebnisse
1
CNN-LSTM-Based Model for Predicting the Remaining Useful Li..:
, In:
Mechanisms and Machine Science; Proceedings of TEPEN 2022
,
Yu, Xiaopeng
;
Zhang, Hao
;
Zhao, Fukai
... - p. 354-366 , 2023
Link:
https://doi.org/10.1007/978-3-031-26193-0_30
RT T1 <cTitle>Mechanisms and Machine Science; Proceedings of TEPEN 2022</cTitle>: T1 <Title>CNN-LSTM-Based Model for Predicting the Remaining Useful Life of Rolling Bearings</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-26193-0_30&Exemplar=1&LAN=DE A1 Yu, Xiaopeng A1 Zhang, Hao A1 Zhao, Fukai A1 Zhen, Dong A1 Lu, Kiuhua A1 Hu, Wei PB Springer Nature Switzerland YR 2023 SP 354 OP 366 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-26193-0_30 DO https://doi.org/10.1007/978-3-031-26193-0_30 SF ELIB - SuUB Bremen
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