Abstract
In the harsh radiation environment, Random Access Memory (RAM) fails due to Single Event Upset (SEU). The failure of the RAM seriously threatens the safety and reliability of on-orbit spacecraft. For devices with Error Detection and Correction (EDAC) enhanced, this paper provides a reliability assessment methodology using small sample test data combined with Maximum Entropy Principle (MEP) and Bootstrap. First, using ground and orbit test data with MEP, the optimal distribution function of SEU rate is determined. Second, the confidence intervals of the function arguments under different confidence levels are estimated by the parametric Bootstrap method. Then, a Single Event Upset reliability assessment methodology is proposed for RAM with EDAC enhanced. Finally, using the ground and orbit test data combined with above methods, a case study of reliability assessment for RAM is given. The assessment can be combined with small sample data to quantitatively evaluate the reliability of RAM under EDAC enhanced. The assessment methodology in this paper has the characteristics of strong applicability and good portability.
Originalsprog | Engelsk |
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Titel | Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 |
Redaktører | Ping Ding, Chuan Li, Shuai Yang, Ping Ding, Rene-Vinicio Sanchez |
Antal sider | 5 |
Forlag | IEEE Signal Processing Society |
Publikationsdato | 4 jan. 2019 |
Sider | 191-195 |
Artikelnummer | 8603347 |
ISBN (Elektronisk) | 9781538653791 |
DOI | |
Status | Udgivet - 4 jan. 2019 |
Udgivet eksternt | Ja |
Begivenhed | 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 - Chongqing, Kina Varighed: 26 okt. 2018 → 28 okt. 2018 |
Konference
Konference | 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 |
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Land/Område | Kina |
By | Chongqing |
Periode | 26/10/2018 → 28/10/2018 |
Sponsor | Center for Advanced Life Cycle Engineering (CALCE), Chongqing Technology and Business University, et al., Harbin Institute of Technology, Key Laboratory of Space Utilization, CAS, Universidade Do Algarve |
Navn | Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 |
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Bibliografisk note
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