DocumentCode :
2470052
Title :
The intelligent BIT design of aviation integrated computer system based on improved BP neural network
Author :
Shi, Long ; Hou, Wenkui ; Shi, Junyou ; Liu, Hongmei
Author_Institution :
Coll. of Reliability Eng. & Syst., Beihang Univ., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, aiming at some difficulties such as in-flight fault detection and fault isolation of aviation integrated computer system for its complex structure and function, an intelligent BIT design method of aviation integrated computer system, which combining integrated BIT and information-enhanced BIT, has been given after analyzing the research content and development of intelligent BIT. The improved BP neural network has been introduced and the algorithm is applied to the intelligent BIT design. The power process module of aviation computer system is taken as an example for MATLAB simulation. Availability of the intelligent BIT method based on improved BP neural network is partly verified by the simulation result. The insufficient of traditional BIT´s fault diagnostics ability is overcome, which leads to high false alarm rate. The intelligent BIT design improves the testability and the capability of fault diagnostics and has strong practical value.
Keywords :
avionics; backpropagation; fault diagnosis; neural nets; BP neural network; MATLAB simulation; aviation integrated computer system; fault isolation; in-flight fault detection; information-enhanced BIT; integrated BIT; intelligent BIT design; aviation integrated computer; improved BP neural network; intelligent BIT design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
ISSN :
2166-563X
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
Type :
conf
DOI :
10.1109/PHM.2012.6228883
Filename :
6228883
Link To Document :
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