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1 Ergebnisse
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Unmanned aerial vehicle rotor fault diagnosis based on inte..:
Du, Canyi
;
Zhang, Xinyu
;
Zhong, Rui
...
Measurement Science and Technology. 33 (2022) 6 - p. 065003 , 2022
Link:
https://doi.org/10.1088/1361-6501/ac491e
RT Journal T1 <Title>Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_1361-6501_ac491e&Exemplar=1&LAN=DE A1 Du, Canyi A1 Zhang, Xinyu A1 Zhong, Rui A1 Li, Feng A1 Yu, Feifei A1 Rong, Ying A1 Gong, Yongkang PB IOP Publishing YR 2022 SN 0957-0233 SN 1361-6501 JF Measurement Science and Technology VO 33 IS 6 SP 065003 LK http://dx.doi.org/https://doi.org/10.1088/1361-6501/ac491e DO https://doi.org/10.1088/1361-6501/ac491e SF ELIB - SuUB Bremen
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