Sensitive bits based prediction method of functional failure time for SRAM-Based FPGA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

SRAM (Static Random Access Memory)-based FPGA (Field-Programmable Gate Array) is widely used in aircraft with its high-performance and reconfigurable characteristics. It has been proved that SRAM memory cells of the device are extremely sensitive to single particle effects of atmospheric neutrons. SEU (Single Event Upset) failure chain was proposed according to the SRAM-based FPGA three-Tier architecture model and the failure mode of SEU. Sensitive factor was introduced to quantitatively describe the capability of anti-SEU of the device functional circuit. Later, failure propagation model was built to describe the propagation of SEU on the logical layer on the logical layer for complex circuit simulation. Fault injection experiments were performed to ISCAS85 test circuits based on the partial reconfiguration technology. Finally, a method was proposed to assess SEU mean functional failure time of the device under obtained sensitive bits in the experiments.

Original languageEnglish
Title of host publicationProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
EditorsQiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027781
DOIs
StatePublished - 16 Jan 2017
Event7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China
Duration: 19 Oct 201621 Oct 2016

Publication series

NameProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

Conference

Conference7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Country/TerritoryChina
CityChengdu, Sichuan
Period19/10/1621/10/16

Keywords

  • Cellular automaton
  • Fault injection experiment
  • Function failure time
  • SRAM-based FPGA
  • Sensitive bits

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