An Accurate Matching Algorithm with essential factors for Fault Diagnosis

نویسندگان

  • Joohwan Lee
  • Yoseop Lim
  • Hyungjun Cho
  • Sungho Kang
چکیده

In the fault diagnosis, the precision matching algorithm plays a very important role. The matching algorithms have been developed increasingly by considering main factors. We introduce several matching algorithms considered the combination of six essential factors. The each factor can affect the performance of the matching algorithm for fault diagnosis. The factors are applications of positive calculation, potentially detected output, negative calculation, perfect match, criterion output and weight change. Six combinations which consist of the six essential factors are examined in turn. From the experimental results, we determined the accurate matching algorithm combined by negative calculation, perfect match, criterion output and weight change. Experimental results are provided for the ISCAS89 benchmark circuits.

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تاریخ انتشار 2006