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Warship reliability evaluation based on dynamic bayesian networks and numerical simulation

机译:基于动态贝叶斯网络和数值模拟的舰船可靠性评估

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摘要

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.
机译:可靠性工程的系统实施是提高舰船可靠性的必要措施。在军舰可靠性工程中,可靠性评估是关键一步,因为它可以揭示军舰是否具有可接受的可靠性水平。当前的可靠性评估方法,例如分析方法,多级综合方法​​和数值模拟方法,都基于静态逻辑。但是,军舰是典型的动态系统,其可靠性无法使用上述方法进行评估。根据舰船的特点,包括小样本系统,动态多级任务,提出了一种基于动态贝叶斯网络和数值模拟的可靠性评估方法。该方法是对基于数值模拟的可靠性评估方法的继承和发展。因此,它克服了分析方法和多层次综合方法的局限性,为舰艇的可靠性评估提供了有效的手段。所提出的方法不仅适用于军舰的整体可靠性评估,还适用于其他复杂动力系统的整体可靠性评估。

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