| 基于遗传算法的测试性优化分配方法 |
| |
| 引用本文： | 张延生,黄考利,陈建辉. 基于遗传算法的测试性优化分配方法[J]. 测试技术学报, 2011, 25(2): 153-157. DOI: 10.3969/j.issn.1671-7449.2011.02.011 |
| |
| 作者姓名： | 张延生 黄考利 陈建辉 |
| |
| 作者单位： | 1. 军械工程学院导弹工程系,河北石家庄,050003
2. 军械技术研究所,河北石家庄,050003 |
| |
| 摘 要： | 测试性分配是测试性设计中的一项重要环节.测试性分配参数主要是故障检测率(FDR)和故障隔离率(FIR).常用的权值分配法存在权值计算繁杂、分配结果需要调整等不足.优化分配是一种较好分配方法,它是在一系列的约束条件下,使分配的结果费效比最优.但是解决约束优化分配问题的内点法、最小乘子法等算法存在易陷入局部最优、寻找初始点...
|
| 关 键 词： | 测试性 优化分配 遗传算法 故障检测率 故障隔离率 |
Testability Optimization Allocation Method Based on Genetic Algorithm |
| |
| ZHANG Yansheng,HUANG Kaoli,CHEN Jianhui. Testability Optimization Allocation Method Based on Genetic Algorithm[J]. Journal of Test and Measurement Techol, 2011, 25(2): 153-157. DOI: 10.3969/j.issn.1671-7449.2011.02.011 |
| |
| Authors: | ZHANG Yansheng HUANG Kaoli CHEN Jianhui |
| |
| Affiliation: | ZHANG Yansheng1,HUANG Kaoli2,CHEN Jianhui1(1.Dept.of Missile Engineering Ordnance Engineering College,Shijiazhuang 050003,China,2.Ordnance Engineering Institute,China) |
| |
| Abstract: | It is necessary to apportion system level testability requirements and generate subsystem level requirements during the design for testability.Fault Detection Rate(FDR) and Fault Isolation Rate(FIR) serve as testability parameters for allocating.The traditional method is an allocation method of weighting.But it is a complex thing to calculate the weighting values,and the allocation results using this method need to adjust.The optimization method is a good way to generate the most cost-effective ratio for te... |
| |
| Keywords: | testability optimization allocation method genetic algorithm fault detection rate fault isolation rate |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
