Proceedings of the 2012 National Conference on Information Technology and Computer Science

The Study of the Spacecraft Telemetry Data Credibility Calculation Method based on the Probability Statistics and Fuzzy Algorithm

Authors
Hongzheng Fang, Haodong Ma, Liming Han, Kai Luo, Rui Li
Corresponding Author
Hongzheng Fang
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.242How to use a DOI?
Keywords
credibility; telemetry data; probability statistics; fuzzy algorithm; spacecraft
Abstract
The credibility of the spacecraft telemetry data can be used to characterize the confidence degree of telemetry data and improve the accuracy of the spacecraft condition monitoring and diagnosis system. This paper proposed the telemetry data credibility calculation methods based on the probability statistics and fuzzy algorithm, the process and performance of the algorithms were studied and analyzed. Besides, the data credibility calculation software is realized and applied. The experiment result shows the proposed methods can be effectively applied to the monitoring and diagnosing the spacecraft telemetry data, and has strong practical significance in the field of the spacecraft engineering project
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.242How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongzheng Fang
AU  - Haodong Ma
AU  - Liming Han
AU  - Kai Luo
AU  - Rui Li
PY  - 2012/11
DA  - 2012/11
TI  - The Study of the Spacecraft Telemetry Data Credibility Calculation Method based on the Probability Statistics and Fuzzy Algorithm
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 951
EP  - 954
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.242
DO  - https://doi.org/10.2991/citcs.2012.242
ID  - Fang2012/11
ER  -