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基于灰色关联度的风电齿轮箱传动系统故障树分析 被引量:14

RELIABILITY ANALYSIS OF GEARBOX TRANSMISSION FOR WIND TURBINE BASED ON FAULT TREE MODEL
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摘要 为提高故障树分析在可靠性预测过程中的准确性,以风电齿轮箱传动系统为研究对象,将故障树模型划分为若干子单元,利用灰色关联度理论建立各单元之间的可靠度联系;对于基准单元,定义基本特征事件表征同类底事件的概率特征,利用应力-强度干涉模型及蒙特卡罗数值法模拟各基本特征事件的可靠度,在此基础上求解整个传动系统的可靠度。结果表明:该方法不仅可提高可靠度计算的客观性,且能够在设计参数已知的前提下对系统可靠度进行快速预测。 In order to increase the accuracy of fault tree analysis and improve the predictive viaracity of reliability analysis, the transmission qear box of wind power was provided as study case. Fault tree model was divided into several sub-units and grey relation theory was used to establish the reliability links between various units. In the base unit, basic feature events were defined to generalize the probability characteristics of similar basic events. In addition, reliability of each basic feature events was calculated by stress-strength interference model and Monte Carlo method. Based on these work, reliability of whole transmission can be solved. The results indicate that the method an improve the objectivity of reliability analysis, and the system reliability can be predicted fleetly if the design parameters are known.
出处 《太阳能学报》 EI CAS CSCD 北大核心 2012年第10期1655-1660,共6页 Acta Energiae Solaris Sinica
关键词 风电齿轮箱 可靠性 灰色关联度 故障树 基本特征事件 gearbox for wind power reliability grey relation fault tree model basic feature event
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