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1 Ergebnisse
1
Rotating Machinery Fault Diagnosis Based on Multi-sensor In..:
, In:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
,
Li, Chenyang
;
Kwoh, Chee Keong
;
Li, Xiaoli
.. - p. 678-683 , 2022
Link:
https://doi.org/10.1109/ICARCV57592.2022.10004378
RT T1 <cTitle>2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)</cTitle>: T1 <Title>Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10004378&Exemplar=1&LAN=DE A1 Li, Chenyang A1 Kwoh, Chee Keong A1 Li, Xiaoli A1 Mo, Lingfei A1 Yan, Ruqiang YR 2022 K1 Fault diagnosis K1 Time series analysis K1 Sensor phenomena and characterization K1 Robot sensing systems K1 Feature extraction K1 Systems engineering and theory K1 Data models SP 678 OP 683 LK http://dx.doi.org/https://doi.org/10.1109/ICARCV57592.2022.10004378 DO https://doi.org/10.1109/ICARCV57592.2022.10004378 SF ELIB - SuUB Bremen
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