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舰载飞行器出动任务的动态网络结构可靠性计算方法。

Reliability Calculation Method of Shipborne Vehicles' Sortie Mission for Dynamic Network Structure.

机构信息

Harbin Engineering University, Harbin, Heilongjiang 150000, China.

Marine Design and Research Institute of China, Shanghai 200000, China.

出版信息

Comput Intell Neurosci. 2022 Dec 23;2022:8547961. doi: 10.1155/2022/8547961. eCollection 2022.

DOI:10.1155/2022/8547961
PMID:36590835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9803574/
Abstract

To provide decision support to the commander, it is necessary to calculate shipborne vehicles' sortie mission reliability during the formulation of the layout plan. Therefore, this paper presents the sortie mission network model and reliability calculation method for shipborne vehicles. Firstly, the shipborne vehicle layout and sortie task characteristics are used to establish the sortie mission network model. The shipborne vehicles' sortie mission reliability problem is transformed into a two-terminal network reliability problem. Secondly, the minimal path set method is used to calculate the two-terminal network reliability. An improved tabu search algorithm based on a strategy of breaking up the whole into parts is proposed to search for the minimal path set that matches the length. Finally, the sum of disjoint products is used to process the minimal path set to obtain the shipborne vehicles' sortie mission reliability calculation formula. A numerical analysis of two simplified shipborne vehicles' layouts is given to illustrate the calculation process of the method. This study provides a new evaluation index and an effective quantitative basis for the evaluation system of shipborne vehicles' layout. It also provides theoretical support for the development of decision-making related to the sortie mission of shipborne vehicles.

摘要

为了给指挥官提供决策支持,在制定布局计划时需要计算舰载车辆的出动任务可靠性。因此,本文提出了舰载车辆出动任务网络模型和可靠性计算方法。首先,利用舰载车辆布局和出动任务特点建立出动任务网络模型,将舰载车辆出动任务可靠性问题转化为两端网络可靠性问题。其次,采用最小路集法计算两端网络可靠性,提出一种基于分而治之策略的改进禁忌搜索算法搜索匹配长度的最小路集。最后,采用不交积和法对最小路集进行处理,得到舰载车辆出动任务可靠性计算公式。通过对两种简化舰载车辆布局的数值分析,说明了方法的计算过程。该研究为舰载车辆布局评估体系提供了新的评价指标和有效的定量依据,为舰载车辆出动任务相关决策的制定提供了理论支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/6713ae83f2ce/CIN2022-8547961.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/f03d7d7faf2f/CIN2022-8547961.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/a5bdba82ecb8/CIN2022-8547961.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/b624e7039f0f/CIN2022-8547961.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/216cab7d32e5/CIN2022-8547961.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/ba978e5869ae/CIN2022-8547961.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/8200f730a365/CIN2022-8547961.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/6713ae83f2ce/CIN2022-8547961.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/f03d7d7faf2f/CIN2022-8547961.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/a5bdba82ecb8/CIN2022-8547961.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/b624e7039f0f/CIN2022-8547961.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/216cab7d32e5/CIN2022-8547961.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/ba978e5869ae/CIN2022-8547961.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/8200f730a365/CIN2022-8547961.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ac/9803574/6713ae83f2ce/CIN2022-8547961.007.jpg

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