Blade performance prediction model coupled autoencoder with multi-source data fusion strategy

The use of artificial intelligence to develop data-driven aerodynamic performance prediction models has recently become a research hotspot, as it offers significant advantages in computational speed and cost compared to traditional wind tunnel experiments and computational fluid dynamics (CFD) simul...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Engineering Applications of Computational Fluid Mechanics
المؤلفون الرئيسيون:	Ruoyu Chen, Ziliang Li, Huafeng Xu, Qingkuo Li, Mingyang Wang, Xu Dong, Ge Han, Xingen Lu
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Taylor & Francis Group 2025-12-01
الموضوعات:	Small-sample deep learning multi-source data fusion blade loss prediction convolutional autoencoder compressor cascade
الوصول للمادة أونلاين:	https://www.tandfonline.com/doi/10.1080/19942060.2025.2556446