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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >A dynamic reliability analysis method based on support vector machine and Monte Carlo simulation
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A dynamic reliability analysis method based on support vector machine and Monte Carlo simulation

机译:基于支持向量机和蒙特卡罗模拟的动态可靠性分析方法

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摘要

An dynamic reliability analysis method based on support vector machine and finite element combined with Monte Carlo is presented for the parts in complex external conditions, it is difficult to built a dynamic reliability model including the models of the stress distribution and the joint probability density for the parts operating in an uncertain environment, the support vector machine has a good generalization ability and prediction ability, the integration algorithm based on support vector machine, finite element and Monte Carlo is excellently used to dynamic reliability simulation and calculation for complex and certain system. The method is applied to the reliability analysis of catenary parts in the high-speed electrified railway, the integration algorithm mathematic model of reliability analysis for the catenary suspension system is built, and the system reliability is analyzed by the model.
机译:基于支持向量机和有限元组合的动态可靠性分析方法为复杂的外部条件中的零件呈现了蒙特卡罗,难以建立一种动态可靠性模型,包括应力分布模型和关节概率密度零件在不确定的环境中运行,支持向量机具有良好的泛化能力和预测能力,基于支持向量机的集成算法,有限元和蒙特卡罗非常适合于动态可靠性仿真和复杂的系统计算。该方法应用于高速电气化铁路中脉链零件的可靠性分析,构建了屏蔽悬架系统可靠性分析的集成算法数学模型,并通过模型分析了系统可靠性。

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