Modeling of avionics blueprint architecture based on GSPN and LP

Authors: Haotian Wang, Feng He, Huagang Xiong

Abstract:
To solve incompact problem of modular avionics system, an improved blueprint architecture was proposed. Firstly, blueprint models were established with generalized stochastic Petri nets (GSPN), and then these models’ optimal time parameters were ascertained with linear programming (LP), which provided a new method for blueprint research. The results of simulation confirm the blueprint models’ validity, and show that using the blueprint can guarantee the whole avionics system’s reliability above 95 percent.

Keywords:
Blueprint architecture
GSPN model
LP model
Avionics

Published in: Aerospace Science and Technology  (Volumes 26, Issue 1, April-May, 2013)

Publisher: Elsevier

ISSN Information: 1270-9638

Modeling of avionics blueprint architecture based on GSPN and LP

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