DocumentCode
133431
Title
Robust fault detection for wind turbine systems
Author
Yusheng Liu ; Ding-Li Yu
Author_Institution
Sch. of Eng., Technol. & Maritime Oper., Liverpool John Moores Univ., Liverpool, UK
fYear
2014
fDate
12-13 Sept. 2014
Firstpage
38
Lastpage
42
Abstract
This paper proposed a robust fault detection approach using observer method. The developed observer is sensitive to faults in the state equation and output equation, whilst robust to the system disturbance. The multivariable dynamics of the wind turbine system are studied and a state space model is developed. The developed fault detection approach is applied to the wind turbine system with several actuator faults, component faults and sensor faults simulated. The simulation results showed the effectiveness of the proposed approach with the fault detection residual sensitive to all the faults while robust to the disturbance.
Keywords
differential equations; fault diagnosis; power generation faults; state-space methods; wind turbines; actuator faults; component faults; fault detection approach; multivariable dynamics; observer method; sensor faults; state equation; state space model; system disturbance; wind turbine systems; Actuators; Equations; Generators; Mathematical model; Observers; Rotors; Wind turbines; fault detection; robust observer; wind turbine;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Computing (ICAC), 2014 20th International Conference on
Conference_Location
Cranfield
Type
conf
DOI
10.1109/IConAC.2014.6935457
Filename
6935457
Link To Document