Share Email Print

Proceedings Paper

Reliability analysis of airship remote sensing system
Author(s): Jun Qin
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Airship Remote Sensing System (ARSS) for obtain the dynamic or real time images in the remote sensing of the catastrophe and the environment, is a mixed complex system. Its sensor platform is a remote control airship. The achievement of a remote sensing mission depends on a series of factors. For this reason, it is very important for us to analyze reliability of ARSS. In first place, the system model was simplified form multi-stage system to two-state system on the basis of the result of the failure mode and effect analysis and the failure tree failure mode effect and criticality analysis. The failure tree was created after analyzing all factors and their interrelations. This failure tree includes four branches, e.g. engine subsystem, remote control subsystem, airship construction subsystem, flying metrology and climate subsystem. By way of failure tree analysis and basic-events classing, the weak links were discovered. The result of test running shown no difference in comparison with theory analysis. In accordance with the above conclusions, a plan of the reliability growth and reliability maintenance were posed. System's reliability are raised from 89 percent to 92 percent with the reformation of the man-machine interactive interface, the augmentation of the secondary better-groupie and the secondary remote control equipment.

Paper Details

Date Published: 18 August 1998
PDF: 9 pages
Proc. SPIE 3505, Imaging System Technology for Remote Sensing, (18 August 1998); doi: 10.1117/12.317825
Show Author Affiliations
Jun Qin, Southwest Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 3505:
Imaging System Technology for Remote Sensing
Mingzhi Wei; Xinjian Yi; Jianzhong Han; Fiodor F. Sizov, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?