DocumentCode :
2953312
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
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
3
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997628
Filename :
5997628
Link To Document :
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