成都大学学报：自然科学版2012，Vol.31Issue(1)：73-76,4.
基于支持向量机回归的机械零件可靠性分析
Reliability Analysis of Mechanical Parts Based on Support Vector Regression
程跃 1郑严2
作者信息
- 1. 成都大学工业制造学院,四川成都610106
- 2. 西南交通大学机械工程研究所,四川成都610031
- 折叠
摘要
Abstract
For reliability analysis of implicit limit state function in mechanical parts, a method for reliability analysis of mechanical parts was proposed on the basis of support vector regression. Support vector regres- sion was used as a tool for reconstruction of implicit limit state function, and Support Vector Machine model after training was used to replace implicit limit state function. Combining the advanced first order second moment method, a computation flow of reliability analysis for mechanical parts based on support vector re- gression was given. Finally, two examples of testing were used to verify the feasibility, correctness and accu- racy of this method. The results show that this method can solve the reliability analysis problem of mechani- cal parts rightly and efficiently, which has certain practical engineering value.关键词
支持向量机回归/机械零件/可靠性分析/隐式极限状态方程Key words
support vector regression/mechanical parts/reliability analysis/implicit limit state function引用本文复制引用
程跃,郑严..基于支持向量机回归的机械零件可靠性分析[J].成都大学学报：自然科学版,2012,31(1):73-76,4.
