Drive system reliability analysis of wind turbine based on fuzzy fault tree

• Published in: Chinese Control Conference pp. 6761 - 6765
• Main Authors: Zheng, Xiaoxia, Zhou, Guowang, Dai, Jiling, Ren, HaoHan, Li, Dongdong
• Format: Conference Proceeding Journal Article
• Language: English
• Published: TCCT 01.07.2016
• Subjects: Drive system; Dynamical systems; Dynamics; Fault tree; Fault trees; Faults; Fuzzy numbers; Fuzzy set theory; Fuzzy sets; Gears; Logic gates; Mathematical models; Oils; Power system reliability; Reliability; Wind turbine; Wind turbines
• ISSN: 1934-1768
• DOI: 10.1109/ChiCC.2016.7554422

Wind turbines have been developed fast in the recent years and at the same time have brought some problems because they suffer higher reliability risk being exposed to extreme running environment and subject to constantly variable loadings. A fault tree model has been established from the basic components failure mode of wind turbine drive system. In the view of the mass of existence uncertainty in fault phenomenon, fault condition and fault cause of the actual wind turbine drive system, the fuzzy set theory is introduced into the dynamic fault tree analysis. The triangular fuzzy numbers has been represented the basic event failure parameter of the wind turbine drive system. The fuzzy probability of the occurrence of the top event and the fuzzy probability-significance of the basic event has been obtained by analyzing the fuzzy fault tree of wind turbine drive system and combing the λ cut set theory and interval arithmetic. And the weak link of the system can be found by analyzing the fuzzy probability-significance. The results show that the fuzzy fault tree reliability analysis method can provide a reference for the wind turbine operation and maintenance of the drive system.