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1 Ergebnisse
1
Attention Mechanism Feature Fusion for Bearing Fault Diagno..:
, In:
2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
,
Fu, Guangxu
;
Mao, Kai
;
Zhang, Guohua
... - p. 420-425 , 2024
Link:
https://doi.org/10.1109/EEBDA60612.2024.10485798
RT T1 <cTitle>2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)</cTitle>: T1 <Title>Attention Mechanism Feature Fusion for Bearing Fault Diagnosis in Noise Environment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10485798&Exemplar=1&LAN=DE A1 Fu, Guangxu A1 Mao, Kai A1 Zhang, Guohua A1 Jiang, Qinyu A1 Zhang, Xiaodong A1 Ye, Qinnan YR 2024 K1 Fault diagnosis K1 Training K1 Knowledge engineering K1 Working environment noise K1 Gaussian noise K1 Feature extraction K1 Stability analysis K1 Rotating machinery K1 Bearing fault diagnosis K1 Feature fusion K1 Attention mechanism SP 420 OP 425 LK http://dx.doi.org/https://doi.org/10.1109/EEBDA60612.2024.10485798 DO https://doi.org/10.1109/EEBDA60612.2024.10485798 SF ELIB - SuUB Bremen
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