Data-driven design of robust fault detection system for wind turbines

• Published in: Mechatronics (Oxford) Vol. 24; no. 4; pp. 298 - 306
• Main Authors: Yin, Shen, Wang, Guang, Karimi, Hamid Reza
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2014
• Subjects: Benchmarking; Data-driven; Design engineering; Disturbances; Fault detection; Optimization; Optimization criterion; Performance index; Performance indices; Robustness; Wind turbine; Wind turbines; Robustness; Data-driven; Fault detection; Wind turbine; Performance index; Optimization criterion

In this paper, a robust data-driven fault detection approach is proposed with application to a wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its nonlinearity, unknown disturbances as well as significant measurement noise. To overcome these difficulties, a dat...