DocumentCode :
2511185
Title :
Built-in self-test technique for selective detection of neighbourhood pattern sensitive faults in memories
Author :
Sable, Rajeshwar S. ; Saraf, Ravindra P. ; Parekhji, Rubin A. ; Chandorkar, Arun N.
Author_Institution :
Tejas Networks Pvt. Ltd., Bangalore, India
fYear :
2004
fDate :
2004
Firstpage :
753
Lastpage :
756
Abstract :
Traditional tests for memories are based on conventional fault models, involving the address decoder, individual memory cells and a limited coupling between them. The algorithms used in these tests have been successively augmented to consider stronger coupling conditions. Built-in self-test (BIST) solutions for testing memories today incorporate hardware for test pattern generation and application for a variety of these algorithms. This paper presents a BIST implementation for detection of neighbourhood pattern sensitive faults (NPSFs) in random access memories (RAMs). These faults are of different classes and types. More specifically, active, passive and static faults for distance 1 and 2 neighbourhoods, of types 1 and 2, are considered. It is shown how the proposed address generation and test pattern generation schemes can be made scaleable for the given fault type under consideration.
Keywords :
automatic test pattern generation; built-in self test; fault diagnosis; random-access storage; BIST; RAM; active faults; address decoder; built in self test; conventional fault models; coupling conditions; memory cells; memory testing; neighbourhood pattern sensitive faults; passive faults; random access memories; selective fault detection; static faults; test pattern generation; Automatic testing; Built-in self-test; Decoding; Fault detection; Hardware; Instruments; Intelligent networks; Memory architecture; Random access memory; Test pattern generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Design, 2004. Proceedings. 17th International Conference on
Print_ISBN :
0-7695-2072-3
Type :
conf
DOI :
10.1109/ICVD.2004.1261019
Filename :
1261019
Link To Document :
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