| 基于神经网络的弹性连杆机构广义刚度可靠性仿真 |
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| 引用本文： | 拓耀飞,陈建军,陈永琴,张驰江.基于神经网络的弹性连杆机构广义刚度可靠性仿真[J].系统仿真学报,2007,19(5):1138-1140,1156. |
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| 作者姓名： | 拓耀飞 陈建军 陈永琴 张驰江 |
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| 作者单位： | 1. 西安电子科技大学机电工程学院,西安,710071;榆林学院物理与电气工程系,陕西榆林,719000
2. 西安电子科技大学机电工程学院,西安,710071 |
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| 基金项目： | 国防科技预研项目;陕西省自然科学基金 |
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| 摘 要： | 将弹性连杆机构的杆长、截面尺寸均视为随机变量，并考虑机构安全的极限状态的模糊性，建立了弹性连杆机构广义刚度可靠性分析模型．针对进行可靠性数值模拟时求解机构动力响应过程的复杂性和耗时性，构建了基于BP网络的动力响应分析模型．从而可以明显减少可靠性仿真时求解动力响应的时间开支，提高仿真效率。最后，通过仿真实例验证了方法的可行性和有效性。
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| 关 键 词： | 弹性连杆机构 神经网络 数值仿真 刚度 广义可靠性 |
| 文章编号： | 1004-731X（2007）05-1138-03 |
| 收稿时间： | 2005-12-21 |
| 修稿时间： | 2005-12-212006-03-24 |
Numerical Simulation of Random-fuzzy Reliability of Elastic Linkage Mechanism Stiffness Based on Artificial Neural Network |
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| TUO Yao-fei,CHEN Jian-jun,CHEN Yong-qin,ZHANG Chi-jiang.Numerical Simulation of Random-fuzzy Reliability of Elastic Linkage Mechanism Stiffness Based on Artificial Neural Network[J].Journal of System Simulation,2007,19(5):1138-1140,1156. |
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| Authors: | TUO Yao-fei CHEN Jian-jun CHEN Yong-qin ZHANG Chi-jiang |
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| Abstract: | The random-fuzzy reliability model was built by taking the bar length,interception parameters as random variables and taking the fuzziness of safety state into consideration.Then a dynamic analysis model based on BP(Back-propagation) Network was established in accordance with the complexity and time-consuming character of the dynamic analysis in the reliability simulation of elastic linkage mechanism.It can decrease the simulation time and increase calculation efficiency obviously.Finally,the results of the numerical simulations show that the method is practicable and effective. |
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| Keywords: | elastic linkage mechanism neural network numerical simulation stiffness random-fuzzy reliability |
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