Failure Mechanism Analysis and Failure Number Prediction of Wind Turbine Blades
| Main Authors: | Chun-yu, Yu; Harbin University of Science and Technology, Jian-ying, Guo; Harbin University of Science and Technology, Shi-guang, Xin; Harbin University of Science and Technology |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Ahmad Dahlan
, 2014
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| Subjects: | |
| Online Access: |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/76 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/76/pdf_2 |
Daftar Isi:
- Pertinent to the problems that wind turbine blades operate in complicated conditions, frequent failures and low replacement rate as well as rational inventory need, this paper, we build a fault tree model based on in-depth analysis of the failure causes. As the mechanical vibration of the wind turbine takes place first on the blades, the paper gives a detailed analysis to the Failure mechanism of blade vibration. Therefore the paper puts forward a dynamic prediction model of wind turbine blade failure number based on the grey theory. The relative error between its prediction and the field investigation data is less than 5%, meeting the actual needs of engineering and verifying the effectiveness and applicability of the proposed algorithm. It is of important engineering significance for it to provide a theoretical foundation for the failure analysis, failure research and inventory level of wind turbine blades.