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Warship reliability evaluation based on dynamic bayesian networks and numerical simulation

The systematic implementation of reliability engineering is a necessary measure to improve warship reliability. In warship reliability engineering, reliability evaluation is a key step because it reveals whether warships feature an acceptable level of reliability. Current reliability evaluation meth...

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Bibliographic Details
Published in:Ocean engineering 2017-05, Vol.136, p.129-140
Main Authors: Liang, Xiao Feng, Wang, Hong Dong, Yi, Hong, Li, Dan
Format: Article
Language:English
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Summary:The systematic implementation of reliability engineering is a necessary measure to improve warship reliability. In warship reliability engineering, reliability evaluation is a key step because it reveals whether warships feature an acceptable level of reliability. Current reliability evaluation methods, such as the analytic method, multilevel synthesis method and numerical simulation method, are all based on static logic. However, warships are typical dynamic systems, and their reliability cannot be evaluated using the aforementioned methods. On the basis of the characteristics of warships, including their small sample system and dynamic and multistage missions, this study proposed a new reliability evaluation method based on dynamic Bayesian networks and numerical simulation. The proposed method is the inheritance and development of current methods for reliability evaluation based on numerical simulation. Hence, it overcomes the limitations of the analytic method and multilevel synthesis method, as well as provides an effective means for the reliability evaluation of warships. The proposed method is suitable for the overall reliability evaluation not only of warships but also of other complex dynamic systems. •A key step to reveal whether warships feature an acceptable level of reliability.•Proposes a new reliability evaluation method based on DBN and numerical simulation.•Provides an effective means for the reliability evaluation of warships.
ISSN:0029-8018
1873-5258
DOI:10.1016/j.oceaneng.2017.03.023