Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks

The adoption of deep learning in intelligent operation and maintenance of wind turbines has improved fault detection and classification accuracy. However, most existing studies focus primarily on the fault identification stage, while the crucial task of generating intelligent and personalized mainte...

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Xehetasun bibliografikoak

Egile Nagusiak:	Xueyi Li, Gang Li, Tianyang Wang, Zhilin Dong, Zhaoye Qin, Fulei Chu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	KeAi Communications Co., Ltd. 2026-12-01
Saila:	Chinese Journal of Mechanical Engineering
Gaiak:	Intelligent operation and maintenance Fault diagnosis Retrieval-augmented generation Graph attention network Large language model
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1000934525001452
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!