Optimization of a subsea production system for cost and reliability using its fault tree model
Optimization of a subsea production system for cost and reliability using its fault tree model
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DOI：
10.1016/j.ress.2018.12.030
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
S. K. Bhattacharyya;A. S. Cheliyan
中科院分区：
文献类型：
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作者：
S. K. Bhattacharyya;A. S. Cheliyan
提出了一种优化由故障树表示的系统的成本和可靠性的方法，该方法对于为系统设计者可用的基本事件选择技术选项很有用。优化的问题是通过执行技术选择来最小化总体系统成本，该技术选择将产生系统顶级事件的指定故障概率。众所周知的非支配排序遗传算法（NSGA-II）已用于优化。对单目标优化问题和双目标优化问题进行了探讨，并讨论了它们的数值收敛特征。所处理的应用问题之一是海底生产系统中的泄漏。
A method of optimizing the cost and reliability of a system represented by a fault tree is proposed which is useful in choosing the technology options for basic events that are available to the system designer. The problem of optimization is to minimize the overall system cost by exercising technology choices that will yield a prescribed probability of failure of the top event of the system. The well known non-dominated sorting genetic algorithm (NSGA-II) has been used for optimization. Both single and two objective optimization problems have been explored and their numerical convergence features discussed. The application problem treated is one of leakage in a subsea production system.