Title :
Fault Diagnosis of Wind Turbine Blades Based on Fuzzy Theory
Author :
Li Yafeng ; Li Guoxing ; Yan Jun
Author_Institution :
Sch. of Mech. & Electr. Eng., Tianjin Polytech. Univ., Tianjin, China
Abstract :
In view of problems of existing fault of wind turbine blade, according to traditional fault diagnosis methods, this paper introduce fuzzy method into wind turbine blade fault diagnosis, then analyze the fuzzy fault and symptom. Meanwhile it establish fuzzy judge model and adopt maximum membership grade principle to diagnose the fault symptom of Wind Turbine blade, the result show it could accurately and rapidly find the fault symptom.
Keywords :
blades; fault diagnosis; fuzzy set theory; wind turbines; fault diagnosis; fuzzy fault; fuzzy judge model; fuzzy theory; maximum membership grade principle; wind turbine blades; Blades; Electric breakdown; Fault diagnosis; Ice; Mathematics; Vibrations; Wind turbines;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997628