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- Title
Fault recognition based test score for improving the accuracy of defect diagnosis.
- Authors
Tian, Naiyu; Ouyang, Dantong; Song, Jincai; Zhang, Liming
- Abstract
Diagnosis is an essential step to improve the yield in semiconductor manufacturing industry. It is performed on a failing chip to determine the location of defects. However, the defect diagnosis procedure may obtain too much candidate faults which lead to difficulties in next physical failure analysis. Recently, the methods based on test score to reduce candidate fault set are proved to be effective. The previous test score diagnosis method based on fault free information computes a score for each test which implies the fault identification ability. This letter proposes a novel fault recognition based test score for diagnosis which considers the fault identification capability of tests more comprehensively to improve the original method. More information provided by unique responses and faults detected of a test is added to evaluate the fault recognition for calculating a test score. Then the novel test score which takes more advantages of diagnostic information is applied to adjusting the fault score and reducing the candidate set. The experimental results show that the novel approach reaches smaller fault candidate set than the previous method and increases the diagnostic resolution and precision, and thus provides an effective improvement on the accuracy of diagnosis.
- Subjects
FAULT tolerance (Engineering); SEMICONDUCTOR failures; INTEGRATED circuit failures; INTEGRATED circuit fault tolerance; SEMICONDUCTORS
- Publication
Electronics Letters (Wiley-Blackwell), 2021, Vol 57, Issue 15, p597
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/ell2.12195