Title :
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
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;
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
DOI :
10.1109/SSST.2006.1619136
