A Fault Diagnosis Method for In-Orbit Satellite Based on Credibility and Degree of Membership

Wei Qin; Hong Bo Han; Ling Wei Yan; Yi Qi Guo

doi:10.4028/www.scientific.net/AMM.556-562.2874

Paper Titles

Analysis of the Approaches to Determine Crack Initiation Stress of Rock Materials in Compression Tests
p.2857

Vibration Signal Time-Domain Characteristic Extraction for Coal and Rock Recognition at the Fully Mechanized Top-Coal Caving Face
p.2862

Research of Cycle Slip Detection Based on the Carrier Phase RAIM
p.2866

An Efficient Method for Accuracy Motion Estimation
p.2870

A Fault Diagnosis Method for In-Orbit Satellite Based on Credibility and Degree of Membership
p.2874

The Simulation and Analysis of the Large-Scale Intrusion Detection Model in Shuffle Networks
p.2878

The Design Process of Defect Detection Method for Large Industrial Automatic Control Software
p.2882

Simulation on Optimized Intrusion Detection of Multi-Layer, Distributed and Large Differences Database
p.2886

Design of Surface Quality Inspection and Sorting System of Honeycomb Ceramics
p.2890

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A Fault Diagnosis Method for In-Orbit Satellite...

A Fault Diagnosis Method for In-Orbit Satellite Based on Credibility and Degree of Membership

Abstract:

The mistake rate of in-orbit satellite diagnosis reasoning is a problem which is difficult to solve because of the complex technique frame of satellite and the bit errors of telemetry data. This paper proposed a diagnosis reasoning method based on credibility and degree of membership. And the credibility passing algorithm and the membership function prototype were given to support the diagnosis reasoning process. The argumentation indicates that the diagnosis reasoning mistake rate can be reduced with this method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2874-2877

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2874

Citation:

Cite this paper

Online since:

May 2014

Authors:

Wei Qin, Hong Bo Han*, Ling Wei Yan, Yi Qi Guo

Keywords:

Degree of Membership, Diagnosis Reasoning

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] You Ca, Zeng Liang. Fuzzy expert system theory and design. Beijing University of Aeronautics and Astronautics Press(1995).

Google Scholar

[2] Ploix S, Follot C. Fault diagnosis reasoning for set-membership approaches and application[C]/Intelligent Control, 2001. (ISIC'01). Proceedings of the 2001 IEEE International Symposium on. IEEE, 2001: 85-90.

DOI: 10.1109/isic.2001.971489

Google Scholar

[3] Xue J, Sun L, Liu M, et al. Research on high-speed fuzzy reasoning with FPGA for fault diagnosis expert system[C]/Mechatronics and Automation, 2009. ICMA 2009. International Conference on. IEEE, 2009: 3005-3009.

DOI: 10.1109/icma.2009.5245988

Google Scholar

[4] Belard N, Pencolé Y, Combacau M. A theory of meta-diagnosis: reasoning about diagnostic systems[C]/Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume Volume Two. AAAI Press, 2011: 731-737.

Google Scholar