摘要
提出采用匹配函数描述测试点与仪器端口的匹配程度,用来指导自动测试系统仪器选型和资源配置.匹配函数采用面向信号的方法构建,综合了测点信号属性与仪器性能参数、仪器可靠性、仪器成本、仪器操作复杂度等因素,使得仪器选型和资源配置策略的制定更符合工程需要.给出了资源配置策略和算法,并对资源配置进行了并行测试优化.通过给出一个典型实例,证明该方法能有效降低测试成本,增强系统可靠性,提高测试效率和吞吐量,并为自动测试系统硬件设计的自动化奠定了基础.
Aiming at the problem of lacking in design automation and generalization during the process of instrument selection and resource configuration of automatic test system （ATS） , a kind of matching function was presented to describe the matching degree between test point and instrument port. Matching function was built with signal-oriented method, and it integrated signal properties of test point, capability parameters of in- strument, and instrument＇ s price, reliability, operation complexity and so on. The strategy and algorithm for matching test point and instrument port were proposed. And the strategy was also optimized to meet the re- quirement of parallel test. The method was validated by an example and the result showed that it could reduce test cost, enhance system reliability and improve test efficiency and throughput.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第12期1392-1397,共6页
Journal of Beijing University of Aeronautics and Astronautics
基金
总装备部"十一五"预先研究资助项目(51317030103)
关键词
自动测试
匹配函数
模型
资源配置
算法
automatic testing
matching function
models
resource configuration
algorithms
