Results of a Wind Turbine FDI Competition
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference22 articles.
1. P. Pisu and B. Ayalew. Robust fault diagnosis for a horizontal axis wind turbine. In Proceedings of IFAC World Congress 2011, pages 7055-7060, Milan, Italy, August-September 2011. doi: 10.3182/20110828-6-IT-1002.02540.
2. S. Simani, P. Castaldi, and M. Bonfe. Hybrid modelbased fault detection of wind turbine sensors. In Proceedings of IFAC World Congress 2011, pages 7061-7066, Milan, Italy, August-September 2011a. doi: 10.3182/20110828-6-IT-1002.01311.
3. S. Simani, P. Castaldi, and A. Tilli. Datadriven approach for wind turbine actuator and sensor fault detection and isolation. In Proceedings of IFAC World Congress 2011, pages 8301-8306, Milan, Italy, August-September 2011b. doi: 10.3182/20110828-6-IT-1002.00447.
4. F. Stoican, C.-F. Raduinea, and S. Olaru. Adaptation of set theoretic methods to the fault detection of wind turbine benchmark. In Proceedings of IFAC World Congress 2011, pages 8322-8327, Milan, Italy, August-September 2011. doi: 10.3182/20110828-6-IT-1002.01842.
5. C. Svard and M. Nyberg. Automated design of an fdi-system for the wind turbine benchmark. In Proceedings of IFAC World Congress 2011, pages 8307-8315, Milan, Italy, August-September 2011. doi: 10.3182/20110828-6-IT-1002.00618.
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