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Defect site prediction based upon statistical analysis of fault signatures

Good failure analysis is the ability to determine the site of a circuit defect quickly and accurately. We propose a method for defect site prediction that is based on a site's probability of excitation, making no assumptions about the type of defect being analyzed. We do this by analyzing fault signatures and comparing them to the defect signature. We use this information to construct an ordered list of sites that are likely to be the site of the defect.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/95
Date30 September 2004
CreatorsTrinka, Michael Robert
ContributorsMercer, M. Ray
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis, text
Format213991 bytes, 32875 bytes, electronic, application/pdf, text/plain, born digital

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