An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

Wind power penetration has increased rapidly in recent years. In winter, the wind turbine blade imbalance fault caused by ice accretion increase the maintenance costs of wind farms. It is necessary to detect the fault before blade breakage occurs. Preliminary analysis of time series simulation data...

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Bibliographic Details
Main Authors: Jianjun Chen, Weihao Hu, Di Cao, Bin Zhang, Qi Huang, Zhe Chen, Frede Blaabjerg
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
imbalance fault detection
LSTM
attention mechanism
blades with ice
Online Access:https://www.mdpi.com/1996-1073/12/14/2764

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https://www.mdpi.com/1996-1073/12/14/2764

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