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Comparative Study of CNN and RNN for Motor fault Diagnosis ..:
, In:
2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)
,
Choi, Dong-Jin
;
Han, Ji-Hoon
;
Park, Sang-Uk
. - p. 693-696 , 2020
Link:
https://doi.org/10.1109/ICIEA49774.2020.9102072
RT T1 <cTitle>2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)</cTitle>: T1 <Title>Comparative Study of CNN and RNN for Motor fault Diagnosis Using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9102072&Exemplar=1&LAN=DE A1 Choi, Dong-Jin A1 Han, Ji-Hoon A1 Park, Sang-Uk A1 Hong, Sun-Ki YR 2020 K1 Fault diagnosis K1 Feature extraction K1 Vibrations K1 Convolution K1 Data mining K1 Classification algorithms K1 Recurrent neural networks K1 deep learning K1 CNN K1 RNN K1 LSTM K1 motor failure diagnosis SP 693 OP 696 LK http://dx.doi.org/https://doi.org/10.1109/ICIEA49774.2020.9102072 DO https://doi.org/10.1109/ICIEA49774.2020.9102072 SF ELIB - SuUB Bremen
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