| 元动作单元故障树建模在复杂机电产品可靠性优化中的应用 |
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| 引用本文： | 周伟,李壮,冉琰,黄广全,肖莉明.元动作单元故障树建模在复杂机电产品可靠性优化中的应用[J].重庆大学学报(自然科学版),2018,41(9):1-10. |
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| 作者姓名： | 周伟 李壮 冉琰 黄广全 肖莉明 |
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| 作者单位： | 重庆大学机械工程学院;重庆大学机械传动国家重点实验室 |
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| 基金项目： | 国家"高档数控机床与基础制造装备"科技重大专项资助（2016ZX04004-005）;国家自然科学基金资助项目（51575070）;中央高校基本科研业务费资助项目（106112017CDJXY110006）。 |
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| 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。
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| 关 键 词： | 复杂机电产品 结构化分解 可靠性优化 混合GA-PSO算法 |
| 收稿时间： | 2018/3/9 0:00:00 |
Application of the meta-action-unit fault tree modeling method to reliability optimization of complex electromechanical roducts |
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| ZHOU Wei,LI Zhuang,RAN Yan,HUANG Guangquan and XIAO Liming.Application of the meta-action-unit fault tree modeling method to reliability optimization of complex electromechanical roducts[J].Journal of Chongqing University(Natural Science Edition),2018,41(9):1-10. |
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| Authors: | ZHOU Wei LI Zhuang RAN Yan HUANG Guangquan and XIAO Liming |
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| Affiliation: | College of Mechanical Engineering and State Key Lab Mech Transmiss, Chongqing University, Chongqing 400044, P. R. China,College of Mechanical Engineering and State Key Lab Mech Transmiss, Chongqing University, Chongqing 400044, P. R. China,College of Mechanical Engineering and State Key Lab Mech Transmiss, Chongqing University, Chongqing 400044, P. R. China,College of Mechanical Engineering and State Key Lab Mech Transmiss, Chongqing University, Chongqing 400044, P. R. China and College of Mechanical Engineering and State Key Lab Mech Transmiss, Chongqing University, Chongqing 400044, P. R. China |
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| 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. |
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| Keywords: | complex electromechanical products structure decomposition reliability optimization hybrid GA-PSO algorithm |
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