摘要
针对模拟电路的测点选择问题,对整数编码故障字典进行了研究。分析了基于信息熵算法的测点选择算法,并采用Rollout算法对信息熵算法进行优化,建立了一种新的测点选择算法,给出了新算法的详细计算过程和计算效果。试验结果表明,新算法的计算效果优于信息熵算法,且随着故障字典复杂度的增加,优势更加明显。
Aiming at the topic of test point selection for analog circuitry, the integer-encoding fault dictionary has been studied. The test point selection based on information entropy algorithm is analyzed, and the entropy algorithm is optimized with Rollout algorithm to setup a new test point selection algorithm. The detail calculating procedures and effects of the new algorithm are given. The experimental result indicates that the result of new algorithm is better than information entropy algorithm, and its superiority is more notable when the fault dictionary becomes more complex.
出处
《自动化仪表》
CAS
北大核心
2012年第2期5-8,11,共5页
Process Automation Instrumentation
基金
航空科学基金资助项目(编号:20101996012)
关键词
模拟电路
故障诊断
可测性设计
故障字典
ROLLOUT算法
测点选择
Analog circuitry Fault diagnosis Design for testability Fault dictionary Rollout algorithm Test point selection
