失效模式相关性的柔顺机构可靠性分析  

Reliability Analysis of Supple Mechanisms Considering Failure Mode Correlation

作　　者：伍建军[1] 李嘉辉 WU Jianjun;LI Jiahui(School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China)

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《机械科学与技术》2024年第11期1923-1928,共6页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金地区科学基金项目(51665017)。

摘　　要：现在对柔顺机构及其零部件的可靠性失效模式分析大多是针对单一的疲劳失效,得出的可靠性准确度结果难免会有偏差,为了提高柔顺机构的可靠性及其准确性,以微位移放大机构作为研究对象,建立柔顺机构多失效模式可靠性分析模型,对多失效模式情况进行了可靠性分析和灵敏度分析,引入FORM(First order reliability methods)算法得到失效模式相关系数矩阵,相关系数矩阵的引入让系统可靠性可充分考虑失效模式之间的相关程度。并将系统可靠性模型求解转化为多维正态积分,再通过G-PCM(Generalproduct conditional margin)法对多失效模式情况进行了系统的可靠性分析和灵敏度分析。并给出各失效模式和随机变量的重要度排序,有利于确定柔顺机构可靠性优化的针对性方法。将实验结果与Monet Carlo法进行对比,证明了方法的准确性。Now the reliability failure mode analysis of the supple mechanism and its parts is mostly for a single fatigue failure,so the reliability accuracy results obtained will inevitably be biased.In order to improve the reliability of the supple mechanism and its accuracy,with the micro-displacement amplification mechanism as the research object,the supple mechanism multi-failure mode reliability analysis model is established to consider the multi-failure mode situation of the reliability analysis and sensitivity analysis,in which the FORM algorithm is introduced to obtain the failure mode correlation coefficient matrix that allows system reliability to take into account the degree of correlation between failure modes.The system reliability model solution is converted into multidimensional normal integral,and the reliability analysis and sensitivity analysis of the multi-failure mode situation are analyzed by G-PCM method.The importance ranking of each failure mode and random variable is also given,which is conducive to determining the targeted method of reliability optimization of supple mechanism.The experimental results are compared with the Moon Carlo method to prove the accuracy of the method.

关 键 词：柔顺机构 失效模式 可靠性分析 灵敏度分析 一次可靠度 

分 类 号：TH16[机械工程—机械制造及自动化]