Wind turbine health state monitoring based on a Bayesian data-driven approach
Author:
Funder
Research Grants Council
CityU Strategic Research
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference22 articles.
1. Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities;Sheng,2015
2. A brief status on condition monitoring and fault diagnosis in wind energy conversion systems;Amirat;Renew. Sustain. Energy Rev.,2009
3. Cost-effective condition monitoring for wind turbines;Yang;IEEE Trans. Ind. Electron.,2010
4. A new wind turbine fault diagnosis method based on the local mean decomposition;Liu;Renew. Energy,2012
5. Bearing fault diagnosis for direct-drive wind turbines via current-demodulated signals;Gong;IEEE Trans. Ind. Electron.,2013
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