Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Fast fault diagnosis expert system for rocket launch

Authors
Qingzhen Zhang1, Wei Wang, Lihui Song, Zhang Ren
1Beihang University
Corresponding Author
Qingzhen Zhang
Available Online October 2007.
DOI
10.2991/iske.2007.173How to use a DOI?
Keywords
rocket, fault diagnosis expert system, distributed structure, knowledge base
Abstract

Nowadays, during rocket launch, the decision-making partly depend on the results of the rocket status inspection. But we know the fast and precisely detect and diagnose of rocket faults is a conflict problem in many cases of bulk information processing. In this paper three methods are proposed. First, a distributed system structure is built in order to save time of information transmission and processing. Then a hierarchical-reasoning strategy is introduced. The last method is on reasoning which using reverse and deep reasoning strategy. The proposed strategies have been applied in a prototype assistant decision-making system for rocket launch system.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.173
ISSN
1951-6851
DOI
10.2991/iske.2007.173How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingzhen Zhang
AU  - Wei Wang
AU  - Lihui Song
AU  - Zhang Ren
PY  - 2007/10
DA  - 2007/10
TI  - Fast fault diagnosis expert system for rocket launch
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1020
EP  - 1024
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.173
DO  - 10.2991/iske.2007.173
ID  - Zhang2007/10
ER  -