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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Ngā kaituhi matua:	Xueyi Li, Gang Li, Tianyang Wang, Zhilin Dong, Zhaoye Qin, Fulei Chu
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	KeAi Communications Co., Ltd. 2026-12-01
Rangatū:	Chinese Journal of Mechanical Engineering
Ngā marau:	Intelligent operation and maintenance Fault diagnosis Retrieval-augmented generation Graph attention network Large language model
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S1000934525001452
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!