Proceedings of the 2015 International Conference on Computational Science and Engineering

Research on the Effective Detection Methods of Large Scale IC Fault Signals

Authors
Junhong Li
Corresponding Author
Junhong Li
Available Online July 2015.
DOI
10.2991/iccse-15.2015.62How to use a DOI?
Keywords
Large scale IC, Fault detection, Detection method
Abstract

With the continuous development of electronic technology and the unceasing improvement of manufacturing process, large scale integrated circuits (ICs in abbreviation and IC for its single form henceforth) has now become more and more complex. In modern high-tech industrial equipment, however, its core component is one or a few key large scale ICs. So fault detection for these circuits directly determines qualified rate of the product as well as affects the normal operation of the electronic equipment at the later stage. Therefore, the research on effective fault detection methods for large scale ICs has very important practical meaning.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computational Science and Engineering
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
10.2991/iccse-15.2015.62
ISSN
2352-538X
DOI
10.2991/iccse-15.2015.62How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junhong Li
PY  - 2015/07
DA  - 2015/07
TI  - Research on the Effective Detection Methods of Large Scale IC Fault Signals
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 337
EP  - 341
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.62
DO  - 10.2991/iccse-15.2015.62
ID  - Li2015/07
ER  -