Research of Real-time Forecast Technology in Fault of Missile Guidance System Based on Grey Model and Data Fusion

Author

Wang, Xinguo ; Li, Aihua ; Zhou, Xiaogang ; Xu, Hualong

Author_Institution

Xi´´an Res. Inst. of High-Tech, Xi´´an

Volume

1

fYear

2007

fDate

July 30 2007-Aug. 1 2007

Firstpage

45

Lastpage

49

Abstract

To solve fault forecast in missile guidance system, a new fault forecast method was presented, in which the grey system and multiple-sensor data fusion were used. Grey Model (GM) forecast is invalid when the data sequence is zero-mean random process, to overcome the drawback, present an improved GM method. The simulation results show the fault forecast method has better performance in missile guidance systems.

Keywords

aerospace computing; control engineering computing; grey systems; military computing; missile guidance; sensor fusion; grey model; missile guidance system; multiple-sensor data fusion; real-time fault forecasting; Accelerometers; Feature extraction; Global Positioning System; Missiles; Predictive models; Real time systems; Sensor fusion; Sensor systems; Technology forecasting; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-2909-7

Type

conf

DOI

10.1109/SNPD.2007.18

Filename

4287471