Fault warning study of gearbox based on SOM-ASTGCN-BiLSTM and mutual diagnosis of same clustered wind turbines

Accurate warning of the low-speed bearing temperature of a wind turbine gearbox is the basis for ensuring its healthy and stable operation. Therefore, a gearbox fault warning method based on self-organizing map (SOM)-attention-based spatiotemporal graph convolutional network (ASTGCN)- bidirectional...

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Bibliographic Details
Published in:Renewable energy Vol. 251; p. 123442
Main Authors: Gu, Bo, Zhang, Hongtao, Yue, Shuai, Suslov, Konstantin, Shi, Jie
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.10.2025
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ISSN:0960-1481
Online Access:Get full text
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