基于支持向量机的小样本威布尔可靠性分析

基金项目:

中央高校基本科研业务费专项资金项目(CHD2012JC048,72105473)

长安大学基础研究支持计划专向基金项目

汽车运输安全保障技术交通行业重点实验室开放基金项目资助

Weibull Reliability Analysis in Small Samples Based on SVM

1.
Key Laboratory of Automotive Transportation Safety Enhancement Technology of the Ministry of Communication, Chang'an University, Xi'an 710064;
2.
School of Automobile, Chang'an University, Xi'an 710064;
3.
School of Economics and Management, Xidian University, Xi'an 710071

摘要: 在传统的威布尔可靠性分析基础上,提出了基于支持向量机的威布尔可靠性分析方法,采用编程的方式绘制了威布尔概率纸,通过程序化的方式分析估计威布尔概率参数,进行可靠性寿命分析,并对比分析了基于支持向量机和传统的威布尔可靠性分析的效果。实例分析结果显示,在威布尔可靠性分析中,支持向量机的拟合精度较好,可作为威布尔可靠性分析的一种新方法,特别适用于小样本的情况。
- 支持向量机 /
- 威布尔分析 /
- 可靠性评估 /
- 小样本
Abstract: Based on the traditional method of Weibull reliability analysis, a new Weibull reliability analysis method based on the support vector machine (SVM) is proposed in this paper. The Weibull probability paper is programmed, by which the parameters of Weibull distribution and reliability life analysis are estimated. And the effectiveness of new Weibull reliability analysis based on SVM and the traditional one are compared. The simulation experiment results show that the new method based on SVM can improve the analysis precision and effectiveness. So the reliability analysis based on SVM can be regarded as another choice of Weibull reliability analysis, which is especially suitable for the small samples.
- LSSVM SVM /
- Weibull analysis /
- reliability evaluation /
- small samples

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