基于模糊灰关联分析法的直驱式风电机组故障树分析  

Fault Tree Analysis of Direct-drive Wind Turbines Based on Fuzzy Grey Correlation Analysis

作　　者：焦杰 文泽军 Jiao Jie;Wen Zejun(Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment,Hunan University of Science and Technology,Xiangtan 411201,China)

机构地区：[1]湖南科技大学机械设备健康维护湖南省重点实验室,湖南湘潭411201

出　　处：《湖南科技大学学报（自然科学版）》2020年第1期62-70,共9页Journal of Hunan University of Science And Technology：Natural Science Edition

基　　金：国家重点研发计划项目资助(2016YFF0203400);湖南省教育厅科学研究重点项目资助(17A069)。

摘　　要：由于不同种类风电机组的构成部分以及发电机存在区别,当某一特定类型的风电机组发生故障时,针对该类型风电机组的故障树对故障维护将具有更大的参考价值.本文建立了兆瓦级直驱式永磁同步风电机组部分主要子系统的故障树,并结合模糊灰关联分析法对各子系统故障树进行了各最小割集与顶上事件的关联性分析,得到了各子系统的薄弱环节,并提出了相应的改进措施,对判别直驱式永磁同步风电机组的故障原因、改进系统的可靠性有一定参考价值.Due to the difference between the components of different types of wind turbines and generators,when a particular type of wind turbine fails,the fault tree for this type of wind turbine will have greater reference value for fault maintenance.The fault tree of some main subsystems of MW-class direct-drive permanent magnet synchronous wind turbine was established,including wind turbine system,pitch system,yaw system,permanent magnet synchronous generator,wind measurement system,cabin base and tower,and the correlation analysis between the minimum cut set and the top event of each subsystem fault tree was analyzed by fuzzy grey relational analysis method.The weak links of each subsystem were obtained,and the corresponding improvement measures were provided.It has certain reference value for judging the cause of failure of direct-drive permanent magnet synchronous wind turbine and improving the reliability of the system.

关 键 词：直驱式永磁同步风电机组 模糊灰关联分析法 故障树分析 

分 类 号：TB114.3[理学—概率论与数理统计]