Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM

With the increasing complexity of memory devices, fault diagnosis is becoming as important as fault detection. Fault diagnosis is to locate and identify type of fault. One of the memory faults is Neighborhood Pattern Sensitive Faults (NPSF) which is one of the faults that are hard to test due to hig...

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Main Authors: Rusli, Julie Roslita, Mohd Sidek, Roslina, Wan Hasan, Wan Zuha
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/47621/
http://psasir.upm.edu.my/id/eprint/47621/1/neighborhood%20pattern%20sensitive%20fault.pdf
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author Rusli, Julie Roslita
Mohd Sidek, Roslina
Wan Hasan, Wan Zuha
author_facet Rusli, Julie Roslita
Mohd Sidek, Roslina
Wan Hasan, Wan Zuha
author_sort Rusli, Julie Roslita
building UPM Institutional Repository
collection Online Access
description With the increasing complexity of memory devices, fault diagnosis is becoming as important as fault detection. Fault diagnosis is to locate and identify type of fault. One of the memory faults is Neighborhood Pattern Sensitive Faults (NPSF) which is one of the faults that are hard to test due to higher number of cells to be tested at one time. To improve the process of analyzing NPSF detection and to generate the fault syndrome for NPSF diagnosis, an Automated NPSF Syndrome Generator (ANPSFSG) is developed. A proven March algorithms are used in this generator to verify the efficiency of this generator by producing the fault coverage and diagnostic resolution. A user-friendly Graphical User Interface (GUI) of ANPSFSG is also developed by using Microsoft Visual Basic software to load the algorithm under test and display the results.
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institution Universiti Putra Malaysia
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publishDate 2012
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spelling upm-476212016-06-21T04:53:27Z http://psasir.upm.edu.my/id/eprint/47621/ Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM Rusli, Julie Roslita Mohd Sidek, Roslina Wan Hasan, Wan Zuha With the increasing complexity of memory devices, fault diagnosis is becoming as important as fault detection. Fault diagnosis is to locate and identify type of fault. One of the memory faults is Neighborhood Pattern Sensitive Faults (NPSF) which is one of the faults that are hard to test due to higher number of cells to be tested at one time. To improve the process of analyzing NPSF detection and to generate the fault syndrome for NPSF diagnosis, an Automated NPSF Syndrome Generator (ANPSFSG) is developed. A proven March algorithms are used in this generator to verify the efficiency of this generator by producing the fault coverage and diagnostic resolution. A user-friendly Graphical User Interface (GUI) of ANPSFSG is also developed by using Microsoft Visual Basic software to load the algorithm under test and display the results. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47621/1/neighborhood%20pattern%20sensitive%20fault.pdf Rusli, Julie Roslita and Mohd Sidek, Roslina and Wan Hasan, Wan Zuha (2012) Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM. In: 10th IEEE International Conference on Semiconductor Electronics (ICSE 2012), 19-21 Sept. 2012, Grand Millenium Hotel, Kuala Lumpur. (pp. 482-485). 10.1109/SMElec.2012.6417191
spellingShingle Rusli, Julie Roslita
Mohd Sidek, Roslina
Wan Hasan, Wan Zuha
Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title_full Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title_fullStr Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title_full_unstemmed Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title_short Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
title_sort development of automated neighborhood pattern sensitive fault syndrome generator for sram
url http://psasir.upm.edu.my/id/eprint/47621/
http://psasir.upm.edu.my/id/eprint/47621/
http://psasir.upm.edu.my/id/eprint/47621/1/neighborhood%20pattern%20sensitive%20fault.pdf