Hierarchical method for wind turbine prognosis using SCADA data
Author:
Affiliation:
1. Power and ControlABB Corporate Research CenterBeijingPeople's Republic of China
2. Electrical SystemsABB Corporate Research CenterVasterasSweden
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2016.0247
Reference20 articles.
1. The wind energy (r)evolution: A short review of a long history
2. Council G.W.E.: ‘Global wind statistics 2015’. Global Wind Report 2016 pp.1–4
3. Operation and maintenance costs compared and revealed;Milborrow D.;Wind Stats 2006,2006
4. Condition monitoring of wind turbines: techniques and methods;Márquez F.P.G.;Renew. Energy,2012
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