一种紧凑性指标最小的抗误判算法

A Kind of Anti-aliasing Test Generation Algorithm with the Minimal Compact Index

影响测试向量集对所有故障进行准确定位的原因主要是由于存在两类问题:征兆误判问题和征兆混淆问题,而征兆误判问题对故障诊断准确性的影响更大。论文分析了测试向量生成中的征兆误判现象,结合现有的抗误判测试向量生成算法,从紧凑性角度考虑,得到了一种紧凑性指标最小的抗误判算法。该算法不仅避免了征兆误判现象,而且减小了紧凑性指标,缩短了测试时间。

Aliasing syndrome and confounding syndrome are the two causes of affecting the diagnostic capability of test generation algorithm, aliasing syndrome is the most important cause. In this paper, the aliasing syndrome phenomenon of test vector generation and some existing anti-aliasing test generation algorithm are discussed in detail, a kind of anti-aliasing algorithm with the minimal compact index is proposed through considering the compact index. This algorithm avoided the phenomenon of aliasing syndrome, minimized the compact index and shortened the test time.