DocumentCode :
3532716
Title :
Fault Prognosis Modeling of Aviation Electronic System Based on Kalman Filtering
Author :
Kong Qing-chun ; Xiao Ming-qing ; Zhao Xin
Author_Institution :
Eng. Sch., Air Force Eng. Univ., Xi´an
fYear :
2009
fDate :
28-29 April 2009
Firstpage :
1
Lastpage :
4
Abstract :
According to characteristics of fault in aviation electronic system, first of all, fault prognosis model based on Kalman filtering is established and analyzed in this paper, a certain method of to determine fault point critical status value is given, and then a project for fault prognosis is decided and fault prognosis algorithm is designed. And at last, historical data in system operation and test is fully utilized by fault prognosis model, and by so doing a theoretical foundation is provided for predicting fault and performance.
Keywords :
Kalman filters; avionics; built-in self test; Kalman filtering; aviation electronic system; condition-based maintenance; fault prognosis modeling; Aerospace electronics; Algorithm design and analysis; Control system synthesis; Design engineering; Fault detection; Filtering; Kalman filters; Maintenance; Modeling; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Testing and Diagnosis, 2009. ICTD 2009. IEEE Circuits and Systems International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-2587-7
Type :
conf
DOI :
10.1109/CAS-ICTD.2009.4960822
Filename :
4960822
Link To Document :
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