DocumentCode :
1882124
Title :
Study of the Battlefield Damage Repair Sequence Based on Bayesian Networks
Author :
Liu, Fei ; Yang, Jiangping ; Wang, Hanzhong
Author_Institution :
Dept. of Land-based Early-Warning & Surveillance Equip., AFRA, Wuhan, China
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
According to the criterion of minimal Expected Cost of the Repair sequence (ECR), the optimizing model of Battlefield Damage Repair (BDR) sequence based on Bayesian networks has been established in this paper. The model has changed the traditional mode of static repair sequence, and meets the Battlefield Damage Assessment and Repair (BDAR) demand of speediness and high-efficiency. Furthermore, the repair cost index including the factors of damage repair time, BDAR risk and repair fee is more complete than the single index of damage repair time. Through the comparison and analysis of real application, the BDAR cost has been quite reduced when using the proposed optimization strategy of damage repair sequence. Thus, this optimization strategy will get much more practical value in BDAR.
Keywords :
belief networks; optimisation; Bayesian network; battlefield damage assessment and repair; expected cost of the repair sequence; optimization; Antenna feeds; Bayesian methods; Bismuth; Maintenance engineering; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5677253
Filename :
5677253
Link To Document :
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