• Home
  • Search
  • Predictive error detection by on-line aging monitoring
  • Cite Icon30
  • https://doi.org/10.1109/iolts.2010.5560241Copy DOI Icon

Predictive error detection by on-line aging monitoring

  • Jul 1, 2010
  • J C Vazquez +7 more
Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

The purpose of this paper is to present a predictive error detection methodology, based on monitoring of long-term performance degradation of semiconductor systems. Delay variation is used to sense timing degradation due to aging (namely, due to NBTI), or to physical defects activated by long lifetime operation, which may occur in safety-critical systems (automotive, health, space). Error is prevented by detecting critical paths abnormal (but not fatal) propagation delays. A monitoring procedure and a programmable aging sensor are proposed. The sensor is selectively inserted in key locations in the design and can be activated either on user's requirement, or at pre-defined situations (e.g., at power-up). The sensor is optimized to exhibit low sensitivity to PVT (Process, power supply Voltage and Temperature) variations. Sensor limitations are analysed. A new sensor architecture and a sensor insertion algorithm are proposed. Simulation results are presented with a ST 65 nm sensor design.

Similar Papers
  • Conference Article
  • Citations237

Delay variability: sources, impacts and trends

  • Feb 07, 2000
  • S Nassif
  • Conference Article
  • Citations3

Effects of Process and Environmental Variations on Adder Architectures

  • Aug 01, 2006
  • Arun Thakur +2
  • Research Article

Mixed logic style adder circuit designed and fabricated using SOI substrate for irradiation-hardened experiment

  • Dec 21, 2015
  • International Journal of Electronics
  • Shoucai Yuan +1
  • Conference Article
  • Citations3

Power Supply Variation Effects on Timing Characteristics of Clocked Registers

  • May 21, 2006
  • W.R Roberts +1
  • Book Chapter
  • Citations1

PVTA-Aware Performance SRAM Sensor for IoT Applications

  • Sep 20, 2019
  • J Semião +4
  • Conference Article
  • Citations11

On measurement of impact of the metallization and FPGA design to the changes of slice parameters and generation of delay faults

  • Aug 01, 2012
  • Petr Pfeifer +1
  • Conference Article
  • Citations1

On reliability enhancement using adaptive core voltage scaling and variations on nanoscale FPGAs

  • Mar 01, 2014
  • Petr Pfeifer +3
  • Conference Article
  • Citations63

Timing Analysis in Presence of Power Supply and Ground Voltage Variations

  • Nov 09, 2003
  • R Ahmadi +1
  • Conference Article
  • Citations48

Timing analysis in presence of power supply and ground voltage variations

  • Jan 01, 2003
  • R Ahmadi +1
  • Book Chapter

Power Optimization Based on Link Breaking Methodology

  • Jan 01, 2016
  • Inna P.-Vaisband +5
  • Research Article

Direct Measurement of the Loss Conductance of Condensers at High Frequencies

  • Apr 01, 1938
  • Proceedings of the IRE
  • M Boella
  • Conference Article
  • Citations3

Scalable driver I/O macromodels for statistical analysis

  • Dec 27, 2005
  • B Mutnury +4
  • Research Article
  • Citations4

Stability of S‐Aloha with variable propagation delay

  • Jul 01, 2019
  • IET Communications
  • Priyatosh Mandal +1
  • Research Article
  • Citations5

Performance analysis of broadcast star network with collision-avoidance switch

  • Aug 01, 1992
  • Computer Networks and ISDN Systems
  • Sea Hyeon Nam +1
  • Conference Article
  • Citations1

A Comparative Study of Pulse Triggered Flipflops

  • Mar 01, 2018
  • Naman Gupta +3
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.