中文摘要：

针对柔性机构可靠性分析中计算效率低和精度差的问题,提出一种柔性机构动态可靠性分析的支持向量机回归极值法.该方法利用蒙特卡洛法抽取柔性机构动态响应极值的小样本;基于这些样本和支持向量机回归理论,建立柔性机构动态响应极值的代理模型;使用该代理模型进行柔性机构动态响应可靠性分析.结合曲柄摇杆柔性机构实例,利用支持向量机回归极值法、蒙特卡罗法、人工神经网络代理模型和二次响应面代理模型方法,分别对连杆的变形和摇杆的摆角进行可靠性分析,通过对四种方法计算结果的比较,证明了支持向量机回归极值法在柔性机构动态可靠性分析中高效率和高精度,验证了支持向量机回归极值法在柔性机构动态可靠性分析的可行性和适用性.

英文摘要：

For low efficiency and poor accuracy problems in reliability analysis of flexible mechanism,support vector machine regression extremum method （SREM） is proposed in dynamic reliability analysis of flexible mechanism.A small amount of samples for flexible mechanism dynamic response extremum are generated by Monte Carlo （MC）.Based on these samples and support vector machine regression theory,the surrogate model of flexible mechanism dynamic response extremum is established.Dynamic response reliability of flexible mechanism can be calculated out by the surrogate model.In crank-rocker flexible mechanism,the reliability of flexible link deformation and the reliability of rocker swing angle are assessed by SREM,MC,artificial neural network surrogate and quadratic polynomial surrogate respectively.By comparing calculation results of four methods,SREM is proved to be high precision and high efficiency in dynamic reliability analysis of flexible mechanism,and the feasibility and application of SREM is verified in dynamic reliability analysis of flexible mechanism.