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Study on the Diagnosis Method of Aero-engine Health Status ..:
, In:
2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
,
Ren, Chenhui
;
Lei, Huajin
;
Dong, Haiping
.. - p. 394-400 , 2019
Link:
https://doi.org/10.1109/SDPC.2019.00078
RT T1
2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
: T1
Study on the Diagnosis Method of Aero-engine Health Status Based on Stacking Ensemble Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9169001&Exemplar=1&LAN=DE A1 Ren, Chenhui A1 Lei, Huajin A1 Dong, Haiping A1 Dong, Xue A1 Tao, Yuxi YR 2019 K1 Stacking K1 Prediction algorithms K1 Engines K1 Training K1 Classification algorithms K1 Support vector machines K1 Vegetation K1 aero-engine K1 Stacking ensemble learning K1 health status diagnosis K1 deep neural network SP 394 OP 400 LK http://dx.doi.org/https://doi.org/10.1109/SDPC.2019.00078 DO https://doi.org/10.1109/SDPC.2019.00078 SF ELIB - SuUB Bremen
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