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Research on bearing fault diagnosis based on improved dense..:
, In:
2023 7th International Symposium on Computer Science and Intelligent Control (ISCSIC)
,
Ma, Xinna
;
Zheng, Xuepeng
;
Liu, Qinqing
... - p. 216-220 , 2023
Link:
https://doi.org/10.1109/ISCSIC60498.2023.00052
RT T1 <cTitle>2023 7th International Symposium on Computer Science and Intelligent Control (ISCSIC)</cTitle>: T1 <Title>Research on bearing fault diagnosis based on improved dense connection network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10409600&Exemplar=1&LAN=DE A1 Ma, Xinna A1 Zheng, Xuepeng A1 Liu, Qinqing A1 Tang, Yu A1 Li, Yiyang A1 Liang, Xiu YR 2023 K1 Fault diagnosis K1 Training K1 Vibrations K1 Computational modeling K1 Rolling bearings K1 Gray-scale K1 Data models K1 Small Sample K1 Fault Diagnosis K1 Conditional Convolutional Generative Adversarial Network K1 Improved Dense Connection Network K1 Grayscale Image K1 Confusion Matrix SP 216 OP 220 LK http://dx.doi.org/https://doi.org/10.1109/ISCSIC60498.2023.00052 DO https://doi.org/10.1109/ISCSIC60498.2023.00052 SF ELIB - SuUB Bremen
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