Hierarchical spatial–temporal autocorrelation graph neural network for online wind turbine pitch system fault detection-Reference-Cited by-同舟云学术

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Hierarchical spatial–temporal autocorrelation graph neural network for online wind turbine pitch system fault detection

Published:2024-06 Issue: Volume:586 Page:127574
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zheng Yi,Wang Chengmin,Huang Chunyi,Li Kangping,Yang Jingfei,Xie Ning,Liu Baoliang,Zhang Ying

Publisher

Elsevier BV

Reference30 articles.

1. Wind power generation variations and aggregations;Wu;CSEE J. Power Energy Syst.,2022

2. Damage detection techniques for wind turbine blades: A review;Du;Mech. Syst. Signal Process.,2020

3. Critical wind turbine components prognostics: A comprehensive review;Rezamand;IEEE Trans. Instrum. Meas.,2020

4. The cost of wind: Negative economic effects of global wind energy development;Dorrell;Energies,2020

5. Fault detection of wind turbine electric pitch system based on IGWO-erf;Tang;Sensors,2021

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