Back to Search Start Over

Built-In Test for Hidden Delay Faults.

Authors :
Kampmann, Matthias
Kochte, Michael A.
Liu, Chang
Schneider, Eric
Hellebrand, Sybille
Wunderlich, Hans-Joachim
Source :
IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems. Oct2019, Vol. 38 Issue 10, p1956-1968. 13p.
Publication Year :
2019

Abstract

Marginal hardware introduces severe reliability threats throughout the life cycle of a system. Although marginalities may not affect the functionality of a circuit immediately after manufacturing, they can degrade into hard failures and must be screened out during manufacturing test to prevent early life failures. Furthermore, their evolution in the field must be proactively monitored by periodic tests before actual failures occur. In recent years, small delay faults (SDFs) have gained increasing attention as possible indicators of marginal hardware. However, SDFs on short paths may be undetectable even with advanced timing aware ATPG. Faster-than-at-speed test (FAST) can detect such hidden delay faults (HDFs), but so far FAST has mainly been restricted to manufacturing test. This paper presents a fully autonomous built-in self-test approach for FAST, which supports in-field testing by appropriate strategies for test generation and response compaction. In particular, the required test frequencies for HDF detection are selected, such that hardware overhead and test time are minimized. Furthermore, test response compaction handles the large number of unknowns (${X}$ -values) on long paths by storing intermediate MISR-signatures in a small on-chip memory for later analysis using ${X}$ -canceling transformations. A comprehensive experimental study demonstrates the effectiveness of the presented approach. In particular, the impact of the considered fault size is studied in detail. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02780070
Volume :
38
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems
Publication Type :
Academic Journal
Accession number :
138733239
Full Text :
https://doi.org/10.1109/TCAD.2018.2864255