基于信息熵的机内测试诊断策略优化技术  

Optimal Diagnosis Strategy of Built-in Test Based on Information Entropy

作　　者：张陟[1] 王伟平[1] 李宇[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《计算机测量与控制》2012年第7期1744-1746,共3页Computer Measurement &Control

摘　　要：针对常规机内测试技术算法单一、故障隔离率低等问题,以信息熵理论为基础,提出了基于信息熵的机内测试诊断策略;首先建立机内测试的诊断策略模型;考虑测试代价因素,提出优化的启发式信息熵算法,得到多值属性的机内测试故障诊断策略;最后将其应用到航空设备机内测试的实例中,结果表明,该算法计算效果优于信息熵算法。Abstract： Directed towards the problem of singleness on algorithm and high cost for built--in test diagnosis, a strategy is presented based on Information Entropy. At first, diagnostic strategy model of BIT is buiit. Information Entropy algorithm is improved considering tes- ting costs, and a more efficient diagnosis strategy for multi--value testing. Finally, apply it to the BIT in aviation equipment. The result shows that this algorithm is superior to information entropy algorithm

关 键 词：机内测试 相关性模型 诊断策略 启发式函数 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]