【摘要】 针对传统的可靠性建模方法难以建立复杂机电产品的可靠性数学模型,提出一种结合功能分解(FMA,function-motion-action)和故障树(FTA,fault tree analysis)的建模方法,降低了复杂机电产品的可靠性优化模型的构造难度。针对遗传算法(GA,genetic algorithm)和粒子群算法(PSO,particle swarm optimization)在模型求解时存在的不足,提出构建混合GA-PSO算法来改善GA算法易陷入局部最优或全局搜索能力弱的现象。通过数控磨齿机的实例分析,验证了用混合GA-PSO算法构造优化模型的可行性,以及采用混合粒子群算法优化求解的有效性。更多还原

【Abstract】 To overcome the difficulty of constructing complex electromechanical products’ reliability mathematical model,a modeling method which combined function-motion-action(FMA)decomposition withfault tree analysis(FTA)was introduced,reducing the difficulty in constructing the reliability optimization modelThen the hybrid GA-PSO algorithm was put forward for solving the problem of trapping in local optimum easily of genetic algorithm(GA)and weak global search capability of particle swarm optimization(PSO).Through the analysis of grinding machine,it is proved that the optimization model constructed by FMA-FTA is feasible and the optimization result of GA-PSO algorithm is effective.更多还原