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Automatic Defect Classification System in Semiconductors EDS Test Based on System Entity Structure Methodologyopen access

Authors
Han, Young-ShinKim, SoYoungKim, TaeKyuJung, Jason J.
Issue Date
Jul-2010
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
semiconductor; system entity structure; electrical die sorting; fail bit map data; pruning
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E93D, no.7, pp 2001 - 2004
Pages
4
Journal Title
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume
E93D
Number
7
Start Page
2001
End Page
2004
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37759
DOI
10.1587/transinf.E93.D.2001
ISSN
0916-8532
Abstract
We exploit a structural knowledge representation scheme called System Entity Structure (SES) methodology to represent and manage wafer failure patterns which can make a significant influence to FABs in the semiconductor industry. It is important for the engineers to simulate various system verification processes by using predefined system entities (e.g., decomposition, taxonomy, and coupling relationships of a system) contained in the SES. For better computational performance, given a certain failure pattern, a Pruned SES (PES) can be extracted by selecting the only relevant system entities from the SES. Therefore, the SES-based simulation system allows the engineers to efficiently evaluate and monitor semiconductor data by i) analyzing failures to find out the corresponding causes and ii) managing historical data related to such failures.
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소프트웨어대학 (소프트웨어학부)
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