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A digital twin-driven approach for partial domain fault dia..:
Xia, Jingyan
;
Chen, Zhuyun
;
Chen, Jiaxian
...
Engineering Applications of Artificial Intelligence. 131 (2024) - p. 107848 , 2024
Link:
https://doi.org/10.1016/j.engappai.2024.107848
RT Journal T1 <Title>A digital twin-driven approach for partial domain fault diagnosis of rotating machinery</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2024.107848&Exemplar=1&LAN=DE A1 Xia, Jingyan A1 Chen, Zhuyun A1 Chen, Jiaxian A1 He, Guolin A1 Huang, Ruyi A1 Li, Weihua PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 131 SP 107848 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2024.107848 DO https://doi.org/10.1016/j.engappai.2024.107848 SF ELIB - SuUB Bremen
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