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Bearing fault diagnosis method based on CEEDMAN-LDA-DBN:
, In:
2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE)
,
Tian, Wenrui
;
Wang, Qin
;
Xiong, Haoyu
- p. 388-392 , 2022
Link:
https://doi.org/10.1109/ICMIAE57032.2022.00084
RT T1 <cTitle>2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE)</cTitle>: T1 <Title>Bearing fault diagnosis method based on CEEDMAN-LDA-DBN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9980989&Exemplar=1&LAN=DE A1 Tian, Wenrui A1 Wang, Qin A1 Xiong, Haoyu YR 2022 K1 Fault diagnosis K1 Training K1 Empirical mode decomposition K1 Simulation K1 Rolling bearings K1 Stability analysis K1 Manufacturing K1 fault diagnosis K1 rolling bearing K1 complementary overall average empirical mode decomposition K1 linear discriminant analysis K1 deep belief network SP 388 OP 392 LK http://dx.doi.org/https://doi.org/10.1109/ICMIAE57032.2022.00084 DO https://doi.org/10.1109/ICMIAE57032.2022.00084 SF ELIB - SuUB Bremen
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