References
- Boufounas, E., J. Boumhidi, N. Farhane, and I. Boumhidi. 2013. “Neural Network Sliding Mode Controller for a Variable Speed Wind Turbine.” Control and Intelligent Systems 41 (4). doi:10.2316/Journal.201.2013.4.201-2474.
- Boukhezzar, B., and H. Siguerdidjane. 2011. “Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model.” IEEE Transactions on Energy Conversion 26 (1): 149–162. doi:10.1109/TEC.2010.2090155.
- Chen, J., and R. J. Patton. 1999. Robust Model-Based Fault Diagnosis for Dynamic Systems. Springer, Kluwer Academic Press.
- Ding, S. X. 2008. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools. London: Springer Science and Business Media.
- Fogh, P., P. F. Odgaard, and J. Stoustrup. 2009. Unknown Input Observer-Based Scheme for Detecting Faults in a Wind Turbine Converter. IFAC Proceedings Volumes 42(8): 161-166.
- Gao, H., T. Chen, and L. Wang. 2008. “Robust Fault Detection with Missing Measurements.” International Journal of Control 81 (5): 804–819. doi:10.1080/00207170701684823.
- Haessig, D. A., and B. Friedland. 2002. “State Dependent Differential Riccati Equation.” IFAC Proceedings Volumes 35 (1): 405–410.
- Huang, G., G. B. Huang, S. Song, and K. You. 2015. “Trends in Extreme Learning Machines: A Review.” Neural Networks 61: 32–48. doi:10.1016/j.neunet.2014.10.001.
- Huang, G.-B., H. Zhou, X. Ding, and R. Zhang. 2012. “Extreme Learning Machine for Regression and Multiclass Classification.” IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: A Publication of the IEEE Systems, Man, and Cybernetics Society 42 (2): 513–529. doi:10.1109/TSMCB.2011.2168604.
- Huang, G.-B., Q. Zhu, and C. Siew. 2006. “Extreme Learning Machine: Theory and Applications.” Neurocomputing 70 (1–3): 489–501. doi:10.1016/j.neucom.2005.12.126.
- Huang, G. B., D. H. Wang, and Y. Lan. 2011. “Extreme Learning Machines: A Survey.” International Journal of Machine Learning and Cybernetics 2 (2): 107–122. doi:10.1007/s13042-011-0019-y.
- Hwang, I., S. Kim, Y. Kim, and C. E. Seah. 2010. “A Survey of Fault Detection, Isolation, and Reconfiguration Methods.” IEEE Transactions on Control Systems Technology 18 (3): 636–653. doi:10.1109/TCST.2009.2026285.
- Hwas, A., and R. Katebi. 2014. “Nonlinear Observer-Based Fault Detection and Isolation for Wind Turbines.” 22nd Mediterranean Conference on Control and Automation, MED, 3: 870–875.
- Laouti, N., S. Othman, M. Alamir, and N. Sheibat-Othman. 2014. “Combination of Model-Based Observer and Support Vector Machines for Fault Detection of Wind Turbines.” International Journal of Automation and Computing 11 (3): 274–287. doi:10.1007/s11633-014-0790-9.
- Odgaard, P., J. Stoustrup, and M. Kinnaert. 2013. “Fault-Tolerant Control of Wind Turbines: A Benchmark Model IEEE Trans.” Control System Technology 21 (4): 1168–1182. doi:10.1109/TCST.2013.2259235.
- Odgaard, P. F., and J. Stoustrup 2010. “Unknown Input Observer-Based Detection of Sensor Faults in a Wind Turbine.” In 2010 IEEE International Conference on Control Applications, Yokohama, Japan. 310–315.
- Saravanakumar, R., and D. Jena. 2015. “Validation of an Integral Sliding Mode Control for Optimal Control of a Three-Blade Variable Speed Variable Pitch Wind Turbine.” International Journal of Electrical Power and Energy Systems 69: 421–429. doi:10.1016/j.ijepes.2015.01.031.
- Yin, S., G. Wang, and H. R. Karimi. 2014. “Data-Driven Design of Robust Fault Detection System for Wind Turbines.” Mechatronics 24 (4): 298–306. doi:10.1016/j.mechatronics.2013.11.009.