Fault Diagnosis of a Permanent Magnet Synchronous Generator Wind Turbine

Autor: S. Khodakaramzadeh, M. Ayati, M. R. Haeri Yazdi

Publikováno v: Journal of Electrical and Computer Engineering Innovations, Vol 9, Iss 2, Pp 143-152 (2021)

Background and Objectives: Designing a terminal sliding mode observer (TSMO) in order to estimate the potential faults in a wind turbine with a doubly fed induction generator (DFIG) has been studied in previous research works. In this paper, a method

Externí odkaz: https://doaj.org/article/e4c575befbd4458d894e07a63b855881

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Imbalance Fault Detection Based on the Integrated Analysis Strategy for Marine Current Turbines under Variable Current Speed

Autor: Tao Xie, Tianzhen Wang, Demba Diallo, Hubert Razik

Publikováno v: Entropy, Vol 22, Iss 10, p 1069 (2020)

The conversion of marine current energy into electricity with marine current turbines (MCTs) promises renewable energy. However, the reliability and power quality of marine current turbines are degraded due to marine biological attachments on the bla

Externí odkaz: https://doaj.org/article/e2c38ca26bcd415593b4d2e09f37abc5

Imbalance Fault Classification Based on VMD Denoising and S-LDA for Variable-Speed Marine Current Turbine

Autor: Ming Shi, Tianzhen Wang, Yassine Amirat, Tao Xie, Qianqian He, Jiajia Wei

Publikováno v: Journal of Marine Science and Engineering
Volume 9
Issue 3
Journal of Marine Science and Engineering, MDPI, 2021, 9 (3), pp.248. ⟨10.3390/jmse9030248⟩
Journal of Marine Science and Engineering, Vol 9, Iss 248, p 248 (2021)

Marine current energy as a kind of renewable energy has gradually attracted more and more attention from many countries. However, the blade imbalance fault of marine current turbines (MCTs) will have an effect on the power production efficiency and c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212b723a469f7c908a67abe9ec82a798

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