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1 Ergebnisse
1
Hybrid 1D CNN-RNN Network for Fault Diagnosis in Induction ..:
, In:
2023 International Conference on System Science and Engineering (ICSSE)
,
Vo, Tung-Thanh
;
Liu, Meng-Kun
;
Hsieh, Chung-Lin
- p. 212-217 , 2023
Link:
https://doi.org/10.1109/ICSSE58758.2023.10227168
RT T1 <cTitle>2023 International Conference on System Science and Engineering (ICSSE)</cTitle>: T1 <Title>Hybrid 1D CNN-RNN Network for Fault Diagnosis in Induction Motors Using Electrical Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10227168&Exemplar=1&LAN=DE A1 Vo, Tung-Thanh A1 Liu, Meng-Kun A1 Hsieh, Chung-Lin YR 2023 SN 2325-0925 K1 Fault diagnosis K1 Vibrations K1 Induction motors K1 Recurrent neural networks K1 Pumps K1 Voltage K1 Maintenance engineering K1 fault diagnosis K1 raw signal data K1 deep learning K1 1DCNN K1 RNN SP 212 OP 217 LK http://dx.doi.org/https://doi.org/10.1109/ICSSE58758.2023.10227168 DO https://doi.org/10.1109/ICSSE58758.2023.10227168 SF ELIB - SuUB Bremen
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