ID 原文 译文
5934 但随着装备系统的复杂化和决策者需求的多样化,单目标决策问题已不能满足现状。 but as the diversification of demand of complicated equipment system and policy makers, single objective decision-making problem can not meet the status quo.
5935 由此,针对定期检测策略,建立了基于延迟时间理论且考虑不完美维修的多目标决策模型,并运用多属性效用理论对模型求解。 as a result, for regular testing strategy, is established based on the theory of delay time and the imperfect maintenance is considered the multi-objective decision-making model, and using multi-attribute utility theory to solve the model.
5936 首先建立该策略下的可靠度、可用度和维修费用模型;然后将三者视为属性,构造每个属性的效用函数; First to establish the strategy of reliability, availability and maintenance cost model;
5937 之后采用基于逼近理想解排序法思想的赋权法对属性权重赋值,通过加权获得不同维修周期的综合效用值,根据效用值确定维修周期; As a property, then three tectonic each attribute utility function;After sorting based on ideal solution method is used to thinking of the method of attribute weights assignment, through weighted comprehensive utility values of different maintenance cycle, according to the utility value to determine the maintenance cycle;
5938 最后引入算例,验证模型的有效性和可行性。 Finally, an example to introduce verify effectiveness and feasibility of the model.
5939 通过对舰船航渡任务过程的分析,得到了动力系统航渡阶段任务成功性的定义、判断准则和可靠性框图,建立了系统加权邻接矩阵; Through the analysis of the ship crossing the task process, the stage of power system crossing the definition of mission success, judgment criterion and the reliability block diagram, system weighted adjacency matrix is established;
5940 根据对设备故障类型的分析,得出了不同性质的设备故障对舰船航行的影响,建立了舰船动力系统航渡任务成功性的判断模型; According to the type of equipment failure analysis, it is concluded that the different nature of the equipment failure influence on sailing ships, ship power system is established crossing task judgment model of success;
5941 结合典型示例,运用多智能体的方法和思路对动力系统航渡过程和设备故障情况进行了仿真,得到了任务成功率以及相关结论。 Combined with the typical example, using multi-agent method and train of thought for crossing power system process and equipment fault conditions are simulated, mission success and relevant conclusions are obtained.
5942 为开展舰上其他系统对应研究提供了借鉴和依据,并为全舰以及编队的任务成功性和效能研究、故障维修中的备品备件需求等打下了基础。 For ship other system corresponding research provides reference and basis, and success for the radar and the formation of the mission and the efficiency of research, the breakdown maintenance spare parts demand and laid the foundation.
5943 为提高合成孔径雷达(synthetic aperture radar,SAR)景象匹配区(matching-suitable areas,MSA)的匹配概率和匹配精度,提出基于支持向量机(support vector machine,SVM)的SAR景象MSA选取方法。 In order to improve the synthetic aperture radar (synthetic aperture radar, SAR) scene matching area (matching - suitable areas, MSA) matching probability and matching accuracy, is put forward based on support vector machine (SVM) (support vector machine, SVM) method for SAR image MSA selection.