METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE

FENG Shuai; FENG JinFu; WANG Cong; QI Duo; LI YongLi

doi:10.16579/j.issn.1001.9669.2016.03.015

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METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE

更新时间：2022-09-22

- METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE
- Journal of Mechanical Strength Vol. 38, Issue 3, Pages: 509-514(2016)
- 作者机构：
  
  1. 空军工程大学航空航天工程学院
  2. 武警工程大学
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2016.03.015
  CLC：
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FENG Shuai, FENG JinFu, WANG Cong, et al. METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE. [J]. 38(3):509-514(2016)
DOI：

FENG Shuai, FENG JinFu, WANG Cong, et al. METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE. [J]. 38(3):509-514(2016) DOI： 10.16579/j.issn.1001.9669.2016.03.015.

摘要

传统的可靠性评估依赖于产品的失效数据,需要大量的统计数据和试验样本,试验周期长、费用高。针对这一问题,提出了在不需要失效数据的前提下,通过性能退化数据进行可靠性评估的方法。方法建立了基于最小二乘支持向量机的性能退化模型,并用改进的NSGA-Ⅱ算法对模型参数进行了寻优,给出了优化结果和可靠性评估过程。最后通过实例验证了该方法的有效性和可行性。

Abstract

The traditional reliability evaluation is based on the failure data,which needs a large amount of statistical data and samples,and comprises the characteristics of long test cycle and high cost. To solve this problem,without failure data,a method of reliability evaluation was proposed which was based on the performance degradation data. The performance degradation model was built in the method which was based on the least square support machine. With the help of NSGA-II,the parameters optimization of the method above had been done,and the process of parameters optimization and reliability evaluation was given.Last but not least,the availability of the method is validated.

关键词

可靠性评估失效数据最小二乘支持向量机参数寻优

Keywords

Reliability evaluationFailure dataLeast square support vector machine（LS-SVM）Parameter optimization

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Department of Statistics,College of Mathematics,Southwest Jiaotong University

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