基于能量流的风电装备关键零部件疲劳可靠性设计与评价方法研究

项目名称： 基于能量流的风电装备关键零部件疲劳可靠性设计与评价方法研究

项目编号： No.51275258

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 机械、仪表工业

项目作者： 牟鹏

作者单位： 清华大学

项目金额： 80万元

中文摘要： 在我国风电产业飞速发展的背景下，提高风电装备的可靠性水平、减少风电产业的资源和能源消耗是目前我国风电装备产业迫切需要解决的关键问题。本项目选择风电装备的传动系统为主要研究对象，面向风电装备长寿命、高可靠的产业需求及其复杂的服役载荷特点，通过建立基于能量流分析的风电装备传动系统的能量传递模型，研究其关键零部件的失效模式与可靠性映射机制，建立能够全面其载荷历程和失效模式的多元可靠性模型，在此基础上研究风电装备传动系统各零部件之间的失效相关性规律，揭示关键零部件可靠性与系统可靠性的传递和映射规律，并进一步利用Bayes方法研究其基于性能退化数据的可靠性建模及评估方法，提出了实时可靠性建模与评价方法，最后通过虚拟样机仿真和现场试验进行验证。项目研究可为风电装备传动系统关键零部件在设计、制造和服役全生命周期内的可靠性改进和保障提供基础理论和方法支持。

中文关键词： 风电装备；能量流；可靠性；疲劳失效；寿命预测

英文摘要： With the rapid development of wind power industry, it is very urgent to improve the reliability of wind power equipment so as to reduce the resource and energy consumption. Taking transmission system as the studying object, the energy transferring model was built based on energy analysis, which was used to study the mapping mechanisms between failure mode and reliability and build multidimensional reliability model. Then, the reliability of system and parts were built based on the study of correlation rules between components of transmission system. Finally, Bayes method was use to build reliability model based on performance degradation analysis and real-time reliability evaluation method was studied. The above study was verified by virtual prototype simulation and field test. This research will provide theoretical and technical support for the reliability improvement during the whole lifecycle of wind equipment.

英文关键词： wind turbine；energy flow；reliability；fatigue failure；life prediction