Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Research on Fault Diagnosis of Fin Stabilizer System Based on Optimum Searching Strategy

Authors
Li jun Yu, Jin Zhang, Hui Wang
Corresponding Author
Li jun Yu
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.54How to use a DOI?
Keywords
Fin stabilizer, Fault tree analysis, Optimum search strategy, Searching costs.
Abstract
As the composition, working principle and failure data recorded in the process of actual operation, in the non-retractable valve controlled anti-rolling fin system are in-depth analyzed. FTA method is used to set up the fault tree model, and the model is analyzed to determine the failure modes and the main reasons of the fin system. In allusion to the shortage of fault tree analysis method that path searching is not clear enough in actual fault search, the optimum search strategy based on the multi-objective decision in fault diagnosis of fin system is put forward, the path of locating failure cause is realized to be simple, steps of fault diagnosis are optimized, so that the efficiency of diagnosis is improved further.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.54How 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  - Li jun Yu
AU  - Jin Zhang
AU  - Hui Wang
PY  - 2013/08
DA  - 2013/08
TI  - Research on Fault Diagnosis of Fin Stabilizer System Based on Optimum Searching Strategy
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.54
DO  - https://doi.org/10.2991/icacsei.2013.54
ID  - Yu2013/08
ER  -