UPM Institutional Repository

Fault detection with optimum March test algorithm


Citation

Zakaria, Nor Azura and Wan Hassan, Wan Zuha and Abdul Halin, Izhal and Mohd Sidek, Roslina and Xiao, Qing Wen (2013) Fault detection with optimum March test algorithm. Journal of Theoretical and Applied Information Technology, 47 (1). pp. 18-27. ISSN 1992-8645; ESSN: 1817-3195

Abstract

This paper presents a research work aimed to detect previously-undetected faults, either Write Disturb Faults (WDFs) or Deceptive Read Destructive Faults (DRDFs) or both in March Algorithm such as MATS++(6N), March C-(10N), March SR(14N), and March CL(12N). The main focus of this research is to improve fault coverage on Single Cell Faults as well as Static Double Cell Faults detection, using specified test algorithm. Transition Coupling Faults (CFtrs), Write Destructive Coupling Faults (CFwds) and Deceptive Read Destructive Faults (CFdrds) are types of faults mainly used in this research. The experiment result published in [1] shows BIST (Built-In-Self-Test) implementation with the new algorithm. It provides the same test length but with bigger area overhead, we therefore proposed a new 14N March Test Algorithm with fault coverage of more than 95% using solid 0s and 1s Data Background (DB). This paper reveals the design methodology to generate DB covers all memories function by applying non-transition data, transition data, and single read and double read data. The automation hardware was designed to give the flexibility to the user to generate other new March Algorithm prior to the selected algorithm and analyzed the performance in terms of fault detection and power consumption.


Download File

[img]
Preview
PDF (Abstract)
Fault detection with optimum March test algorithm.pdf

Download (84kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Asian Research Publication Network
Keywords: Deceptive read destructive faults; Write disturb faults; March test algorithm
Depositing User: Nabilah Mustapa
Date Deposited: 13 May 2015 01:03
Last Modified: 17 Nov 2015 01:22
URI: http://psasir.upm.edu.my/id/eprint/28805
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item