Proceedings of the 2016 International Conference on Computer and Information Technology Applications

DBN theory in constructing multi-sensor FDIR model

Authors
Youcai Wang, Shuxiang Gao
Corresponding Author
Youcai Wang
Available Online May 2016.
DOI
10.2991/iccita-16.2016.24How to use a DOI?
Keywords
Multi-Sensor, DBN, FDIR, Global Optimization.
Abstract

In this paper, the DBN probabilistic network model is used to realize the fusion of multi sensor uncertainty information, and using the Active DBN detection method to research the global FDIR implementation strategy and optimization methods of fusion order and partial fusion. An improved hierarchical multi-level FDIR fusion model and algorithm is proposed, and the fault-tolerant principle and performance of the FDIR mode are analyzed. The result of simulation shows that the new optimizing method has high accuracy, reliability and fault tolerance.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Computer and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
10.2991/iccita-16.2016.24
ISSN
2352-538X
DOI
10.2991/iccita-16.2016.24How to use a DOI?
Copyright
© 2016, 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  - Youcai Wang
AU  - Shuxiang Gao
PY  - 2016/05
DA  - 2016/05
TI  - DBN theory in constructing multi-sensor FDIR model
BT  - Proceedings of the 2016 International Conference on Computer and Information Technology Applications
PB  - Atlantis Press
SP  - 133
EP  - 138
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccita-16.2016.24
DO  - 10.2991/iccita-16.2016.24
ID  - Wang2016/05
ER  -