Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Complex System Fault Diagnosis Method Based on CFFPN

Authors
Yan Su, Yiqing Ling, Hui Wang
Corresponding Author
Yan Su
Available Online April 2016.
DOI
https://doi.org/10.2991/emim-16.2016.25How to use a DOI?
Keywords
Colored fuzzy fault petri net ?CFFPN?; Fault diagnosis; Modeling; Complex system; Pneumatic system
Abstract
Considering the complexity of system structure and fault mechanism of complex system, a fault diagnosis method based on extended color fuzzy fault Petri net model is proposed (CFFPN) for civil aircraft. In order to increase the fault diagnosis efficiency, the CFFPN is modeled based on fuzzy mathematics and fault Petri net method through adding token, library and staining rules to describe the fault propagation. Fuzzy generated rules combined with matrix theory are utilized for fault diagnosis reasoning. CFFPN based reasoning algorithm is given. The validity of the proposed method is verified in one type aircraft pneumatic system.
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Proceedings
6th International Conference on Electronic, Mechanical, Information and Management Society
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
DOI
https://doi.org/10.2991/emim-16.2016.25How 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  - Yan Su
AU  - Yiqing Ling
AU  - Hui Wang
PY  - 2016/04
DA  - 2016/04
TI  - Complex System Fault Diagnosis Method Based on CFFPN
BT  - 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
UR  - https://doi.org/10.2991/emim-16.2016.25
DO  - https://doi.org/10.2991/emim-16.2016.25
ID  - Su2016/04
ER  -