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A Study on Predicting the Degradation Performance of Non-st..:
, In:
2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
,
Xiang, Xinyu
;
Peng, Jingxuan
;
Li, Xi
. - p. 2262-2266 , 2024
Link:
https://doi.org/10.1109/YAC63405.2024.10598468
RT T1 <cTitle>2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)</cTitle>: T1 <Title>A Study on Predicting the Degradation Performance of Non-stationary SOFC Systems Based on Time Convolutional Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10598468&Exemplar=1&LAN=DE A1 Xiang, Xinyu A1 Peng, Jingxuan A1 Li, Xi A1 Deng, Zhonghua YR 2024 SN 2837-8601 K1 Degradation K1 Automation K1 Convolution K1 System performance K1 Voltage K1 Convolutional neural networks K1 SOFC K1 TCNs K1 non-stationary K1 degradation performance prediction SP 2262 OP 2266 LK http://dx.doi.org/https://doi.org/10.1109/YAC63405.2024.10598468 DO https://doi.org/10.1109/YAC63405.2024.10598468 SF ELIB - SuUB Bremen
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