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应用神经网络-蒙特卡罗法的可靠性分析方法
引用本文:侯国祥,徐凯,朱梅林,张勇传.应用神经网络-蒙特卡罗法的可靠性分析方法[J].华中科技大学学报(自然科学版),2002,30(4):84-86.
作者姓名:侯国祥  徐凯  朱梅林  张勇传
作者单位:1. 华中科技大学水电与数字化工程学院
2. 新加坡国立大学工业工程及系统工程系
摘    要:为了提高内燃机设计的可靠度,提出了应用神经网络-蒙特卡罗法求解发动机零部件可靠度的新方法,该方法利用神经网络根据有限元分析样本逼近应力函数,结合应力-强度干涉模型,采用蒙特卡罗随机模拟求取可靠度。将计算结果与常用的一次二阶矩法,设计验算点法相比较,表明该方法是可行的,而且适用面更广,可适用于多参数且服从于任何分布的问题。

关 键 词:可靠性分析  神经网络  蒙特卡罗法  内燃机
文章编号:1671-4512(2002)04-0084-03
修稿时间:2001年9月4日

Reliability analysis method based on artificial neural networks-Monte Carlo method
Hou Guoxiang Xu Kai Zhu Meilin Zhang Yongchuan College of Hydroelectric & Digital Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..Reliability analysis method based on artificial neural networks-Monte Carlo method[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2002,30(4):84-86.
Authors:Hou Guoxiang Xu Kai Zhu Meilin Zhang Yongchuan College of Hydroelectric & Digital Eng  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Hou Guoxiang Xu Kai Zhu Meilin Zhang Yongchuan College of Hydroelectric & Digital Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:In order to improve the reliability in turbocharger design, a new ANN(artificial neural networks) Monte Carlo method is presented to conduct the reliability analysis of blades in turbocharger. The BP neural network is used to conduct the stress function approximation. Combined with the Monte Carlo stochastic simulation, it can conveniently solve the reliability problem. Compared the result with several common methods, it is proved that the ANN Monte Carlo method is viable. And it can be used in more reliable problem such as multi dimension parameters submitted to any distribution form. The ANN Monte Carlo method is an important application of stochastic simulation to reliability analysis and engineering design
Keywords:reliability analysis  artificial neural networks(ANN)  Monte Carlo method  
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