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

Autor: Weihao Hu, Frede Blaabjerg, Di Cao, Qi Huang, Chen Jianjun, Bin Zhang, Zhe Chen

Publikováno v: Energies, Vol 12, Iss 14, p 2764 (2019)
Energies; Volume 12; Issue 14; Pages: 2764
Chen, J, Hu, W, Cao, D, Zhang, B, Huang, Q, Chen, Z & Blaabjerg, F 2019, ' An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines : A Deep Learning Approach ', Energies, vol. 12, no. 14, 2764, pp. 1-15 . https://doi.org/10.3390/en12142764

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. Pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69163333574cedff29b741c41316eec7
https://doi.org/10.3390/en12142764

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