Uncertain dynamics characteristic forecasting in composite plates with multi-defects of electric aircraft via physics-augmented meta-learning

•A physics-enhanced Meta-learning Framework is proposed to predict dynamic characteristics of composite plate with defects.•Attention meta-learning mechanism is used for cross task meta knowledge weighted extraction.•The effectiveness of the PMF has been verified through comparison with physics-data...

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Veröffentlicht in:	Aerospace science and technology Jg. 164; S. 110363
Hauptverfasser:	Xu, Duo, Zang, Jian, Song, Xu-Yuan, Zhang, Zhen, Zhang, Ye-Wei, Chen, Li-Qun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.09.2025
Schlagworte:	Composite plates with defects Deep Learning Dynamics Analysis Few-shot Physics-enhanced meta-learning framework (PMF) Composite plates with defects Physics-enhanced meta-learning framework (PMF) Deep Learning Few-shot Dynamics Analysis
ISSN:	1270-9638
Online-Zugang:	Volltext
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