DocumentCode :
2469966
Title :
Research on storage life prediction method for strapdown inertial navigation system
Author :
Luo, Kai ; Han, Liming ; Fang, Hongzheng ; Hou, Shumin
Author_Institution :
Beijing Aerosp. Meas. & Control Corp., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
For the high reliability and low cost benefits, the strapdown inertial navigation systems are widely applied to weapon systems. During the using course, the reliability and performance of strapdown inertial navigation system will degenerate periodically. As known, the system has service life which provided by fabricant, but it also has storage life which is influenced by the storage elements, such as temperature, humidity, vibration and so on. In this paper, we discuss the storage life prediction method for strapdown inertial navigation system by the reliability life test. Above all, we analyze the theory of storage life prediction for the strapdown inertial navigation system, mainly about the relationship of the navigation system´s fault, nature element and storage life. Then the system storage life prediction method is researched based on statistics model and performance degenerate model. At last, these prediction algorithms are illustrated by the practical reliability life test data, and the applicability of every algorithm is discussed for strapdown inertial navigation system. These methods were applied in a practical equipment maintenance support project, which can provide technical support for the product reliability and life prolong research in the future.
Keywords :
inertial navigation; life testing; reliability; high reliability; humidity; statistics model; storage life prediction method; strapdown inertial navigation system; temperature; vibration; Acceleration; Accuracy; Analytical models; Mathematical model; Reliability; Temperature; Weapons; Accelerate life test; life prediction; storage life; strapdown Inertial Navigation;
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.2012.6228878
Filename :
6228878
Link To Document :
بازگشت