Markovian Statistical Data Analysis of Single-Event Upsets Triggered by High Intensity Neutrons

Author

Lakdawala, Anushka V. ; Zhang, Hong ; Gonzalez, Oscar R. ; Gray, W. Steven

Author_Institution

Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA

fYear

2006

Firstpage

513

Lastpage

517

Abstract

This paper analyzes data from a single-event upset experiment conducted at the Los Alamos National Laboratory. Statistical tools, based on well-known X² hypothesis testing theory, are used to determine if sequences of upsets can be modeled as a homogeneous Markov chain of a specific order. The experiment consisted of radiating a new experimental flight control computer (FCC) with a high intensity neutron beam while the FCC controlled a simulation of a Boeing 737. The analyzed data is a sequence of states that indicates when the FCC is under an upset condition

Keywords

Markov processes; aerospace control; data analysis; neutrons; statistical analysis; Boeing 737; Los Alamos National Laboratory; Markovian statistical data analysis; flight control computer; high intensity neutrons; homogeneous Markov chain; neutron beam; single-event upsets; Aerospace control; Aerospace simulation; Computational modeling; Computer simulation; Data analysis; FCC; Laboratories; Neutrons; Particle beams; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on

Conference_Location

Cookeville, TN

Print_ISBN

0-7803-9457-7

Type

conf

DOI

10.1109/SSST.2006.1619136

Filename

1619136