March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults

March tests have been widely used for detecting functional faults during SRAM testing. Recent development has extended the March test for diagnostic purpose to locate and identify the fault types. This paper analyses March algorithms for detection and diagnosis of Stuck-At Faults (SAFs) and Transiti...

Full description

Bibliographic Details
Main Authors: Mihai, Masnita, Wan Hassan, Wan Zuha, Sidek, Roslina, Abdul Halin, Izhal
Format: Article
Language:English
English
Published: The Institute of Electronics, Information and Communication Engineers 2009
Online Access:http://psasir.upm.edu.my/id/eprint/15550/
http://psasir.upm.edu.my/id/eprint/15550/1/March.pdf
_version_ 1848842709007073280
author Mihai, Masnita
Wan Hassan, Wan Zuha
Sidek, Roslina
Abdul Halin, Izhal
author_facet Mihai, Masnita
Wan Hassan, Wan Zuha
Sidek, Roslina
Abdul Halin, Izhal
author_sort Mihai, Masnita
building UPM Institutional Repository
collection Online Access
description March tests have been widely used for detecting functional faults during SRAM testing. Recent development has extended the March test for diagnostic purpose to locate and identify the fault types. This paper analyses March algorithms for detection and diagnosis of Stuck-At Faults (SAFs) and Transition Faults (TFs). Unfortunately, the algorithms under studied are not able to distinguish between the two faults. Therefore, this paper proposes a new March based diagnostic algorithm that can differentiate SAFs from TFs.
first_indexed 2025-11-15T08:03:26Z
format Article
id upm-15550
institution Universiti Putra Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-15T08:03:26Z
publishDate 2009
publisher The Institute of Electronics, Information and Communication Engineers
recordtype eprints
repository_type Digital Repository
spelling upm-155502015-10-22T01:39:14Z http://psasir.upm.edu.my/id/eprint/15550/ March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults Mihai, Masnita Wan Hassan, Wan Zuha Sidek, Roslina Abdul Halin, Izhal March tests have been widely used for detecting functional faults during SRAM testing. Recent development has extended the March test for diagnostic purpose to locate and identify the fault types. This paper analyses March algorithms for detection and diagnosis of Stuck-At Faults (SAFs) and Transition Faults (TFs). Unfortunately, the algorithms under studied are not able to distinguish between the two faults. Therefore, this paper proposes a new March based diagnostic algorithm that can differentiate SAFs from TFs. The Institute of Electronics, Information and Communication Engineers 2009-08 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15550/1/March.pdf Mihai, Masnita and Wan Hassan, Wan Zuha and Sidek, Roslina and Abdul Halin, Izhal (2009) March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults. IEICE Electronics Express, 6 (15 ). pp. 1091-1097. ISSN 1349-2543 10.1587/elex.6.1091 English
spellingShingle Mihai, Masnita
Wan Hassan, Wan Zuha
Sidek, Roslina
Abdul Halin, Izhal
March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title_full March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title_fullStr March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title_full_unstemmed March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title_short March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
title_sort march-based sram diagnostic algorithm for distinguishing stuck-at and transition faults
url http://psasir.upm.edu.my/id/eprint/15550/
http://psasir.upm.edu.my/id/eprint/15550/
http://psasir.upm.edu.my/id/eprint/15550/1/March.pdf