Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests

A method of evaluating the single-event effect soft-error vulnerability of space instruments before launched has been an active research topic in recent years. In this paper, a multi-signal flow graph model is introduced to analyze the fault diagnosis and meantime to failure (MTTF) for space instrum...

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Detalles Bibliográficos
Autores principales: He, Wei, Wang, Yueke, Xing, Kefei, Deng, Wei, Zhang, Zelong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008791/
https://www.ncbi.nlm.nih.gov/pubmed/27583533
http://dx.doi.org/10.1371/journal.pone.0161378
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author He, Wei
Wang, Yueke
Xing, Kefei
Deng, Wei
Zhang, Zelong
author_facet He, Wei
Wang, Yueke
Xing, Kefei
Deng, Wei
Zhang, Zelong
author_sort He, Wei
collection PubMed
description A method of evaluating the single-event effect soft-error vulnerability of space instruments before launched has been an active research topic in recent years. In this paper, a multi-signal flow graph model is introduced to analyze the fault diagnosis and meantime to failure (MTTF) for space instruments. A model for the system functional error rate (SFER) is proposed. In addition, an experimental method and accelerated radiation testing system for a signal processing platform based on the field programmable gate array (FPGA) is presented. Based on experimental results of different ions (O, Si, Cl, Ti) under the HI-13 Tandem Accelerator, the SFER of the signal processing platform is approximately 10(−3)(error/particle/cm(2)), while the MTTF is approximately 110.7 h.
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spelling pubmed-50087912016-09-27 Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests He, Wei Wang, Yueke Xing, Kefei Deng, Wei Zhang, Zelong PLoS One Research Article A method of evaluating the single-event effect soft-error vulnerability of space instruments before launched has been an active research topic in recent years. In this paper, a multi-signal flow graph model is introduced to analyze the fault diagnosis and meantime to failure (MTTF) for space instruments. A model for the system functional error rate (SFER) is proposed. In addition, an experimental method and accelerated radiation testing system for a signal processing platform based on the field programmable gate array (FPGA) is presented. Based on experimental results of different ions (O, Si, Cl, Ti) under the HI-13 Tandem Accelerator, the SFER of the signal processing platform is approximately 10(−3)(error/particle/cm(2)), while the MTTF is approximately 110.7 h. Public Library of Science 2016-09-01 /pmc/articles/PMC5008791/ /pubmed/27583533 http://dx.doi.org/10.1371/journal.pone.0161378 Text en © 2016 He et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
He, Wei
Wang, Yueke
Xing, Kefei
Deng, Wei
Zhang, Zelong
Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title_full Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title_fullStr Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title_full_unstemmed Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title_short Error-Rate Estimation Based on Multi-Signal Flow Graph Model and Accelerated Radiation Tests
title_sort error-rate estimation based on multi-signal flow graph model and accelerated radiation tests
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008791/
https://www.ncbi.nlm.nih.gov/pubmed/27583533
http://dx.doi.org/10.1371/journal.pone.0161378
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AT dengwei errorrateestimationbasedonmultisignalflowgraphmodelandacceleratedradiationtests
AT zhangzelong errorrateestimationbasedonmultisignalflowgraphmodelandacceleratedradiationtests

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