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A novel wavelet transform based transient current analysis for fault detection and localization

Published:10 June 2002Publication History

ABSTRACT

Transient current (IDD) based testing has been often cited and investigated as an alternative and/or supplement to quiescent current (IDDQ) testing. While the potential of IDD testing for fault detection has been established, there is no known efficient method for fault diagnosis using IDD analysis. In this paper, we present a novel integrated method for fault detection and localization using wavelet transform based IDD waveform analysis. The time-frequency resolution property of wavelet transform helps us detect as well as localize faults in digital CMOS circuits. Experiments performed on measured data from a fabricated 8-bit shift register and simulation data from more complex circuits show promising results for both detection and localization. Wavelet based detection method shows superior sensitivity than spectral and time domain methods. The effectiveness of the localization method in presence of process variation, measurement noise and complex power supply network is addressed.

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    • Published in

      cover image ACM Conferences
      DAC '02: Proceedings of the 39th annual Design Automation Conference
      June 2002
      956 pages
      ISBN:1581134614
      DOI:10.1145/513918

      Copyright © 2002 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      • Published: 10 June 2002

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      DAC '02 Paper Acceptance Rate147of491submissions,30%Overall Acceptance Rate1,770of5,499submissions,32%

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