DocumentCode :
1677070
Title :
A Probabilistic Model Checking Approach to Analysing Reliability, Availability, and Maintainability of a Single Satellite System
Author :
Zhaoguang Peng ; Yu Lu ; Miller, Alice ; Johnson, Chris ; Tingdi Zhao
Author_Institution :
Sch. of Reliability & Syst. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2013
Firstpage :
611
Lastpage :
616
Abstract :
Satellites now form a core component for space based systems such as GPS and GLONAS which provide location and timing information for a variety of uses. Such satellites are designed to operate in-orbit and have lifetimes of 10 years or more. Reliability, availability and maintainability (RAM) analysis of these systems has been indispensable in the design phase of satellites in order to achieve minimum failures or to increase mean time between failures (MTBF) and thus to plan maintainability strategies, optimise reliability and maximise availability. In this paper, we present formal modelling of a single satellite and logical specification of its reliability, availability and maintainability properties. The probabilistic model checker PRISM has been used to perform automated quantitative analyses of these properties.
Keywords :
Markov processes; formal verification; probability; satellite communication; telecommunication computing; telecommunication network reliability; GLONAS; GPS; MTBF; RAM analysis; automated quantitative analysis; continuous time Markov chains; logical specification; mean time between failures; probabilistic model checker PRISM approach; reliability, availability and maintainability analysis; single satellite system; space based systems; Availability; Global Positioning System; Interrupters; Model checking; Probabilistic logic; Satellites; availability and maintainability (RAM) analysis; continuous time Markov chains (CTMCs); probabilistic model checking; reliability; satellite systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling Symposium (EMS), 2013 European
Conference_Location :
Manchester
Print_ISBN :
978-1-4799-2577-3
Type :
conf
DOI :
10.1109/EMS.2013.102
Filename :
6779914
Link To Document :
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