文中采用割集法求解，可以解各类具有复杂负载的MHD发电机的等效网络。
The cutset method can be used for solving circuit problems in the MHD generator under various loading conditions.
采用层次与关系相结合的装配模型，研究利用割集法自动求解装配与拆卸的并行序列问题。
With assembly model organized in hierarchical and relational mode, the problem of automatically generating assembly and disassembly sequence is explored using cut set theory.
在简化网络模型基础上可灵活、高效地用最小割集法搜索故障、进行网络重构和潮流计算。
With the simplified network model, the fault can be flexibly and efficiently searched by minimal cutset method, and the network reconstruction of and power flow calculation can be conducted.
该方法用状态空间法求解输入母线单元失效频率和平均修复时间，用最小割集法计算整个系统的供电可靠性指标。
Failure rate and average repair time of input-bus unit were calculated by state Spaces method. Power reliability indices of whole systems were computed by min-cut method.
采用一种改进的故障树分析方法对所得到的故障进行分析，根据每类故障分别建造了多棵故障树，并以最小割集理论按下行法对各树进行了定量分析。
Faults are analyzed by means of an improved fault tree analysis, and several fault trees are built for every kind of faults, then make down-way quantity analysis with the minimal cut set theory.
结合电力通信系统的特点，建立了电力通信系统的有效性模型，采用最小割集分析法进行了定性分析，以确定影响电力通信系统失效的主要因素。
The main factors causing the failure of power communication system can be determined by qualitative analysis in which the minimal cut set analysis (MCSA) is used.
采用最小割集分析法确定了导致制冷系统失效的主要因素，提出了改善集中空调系统可靠性的途径。
Finds out the main factors causing the refrigerating system failure by the minimal cut set analysis (MCSA). Proposes the measure to improve the reliability of CACS.
探讨了用线性规划的有效集法求解整数规划问题，称之为有效集割平面法。
In this paper, the Active Set cutting plane method for integer programming is derived from Active Set method of linear programming.
新的模糊重要度计算方法解决了中值法中最小割集所含基本事件模糊重要度相同的问题， 考虑了基本事件发生概率的不同对系统顶事件的影响。
The new fuzzy importance calculating method solved the problem of median method that the basic events in minimum cut sets have the same fuzzy importance degree.
新的模糊重要度计算方法解决了中值法中最小割集所含基本事件模糊重要度相同的问题， 考虑了基本事件发生概率的不同对系统顶事件的影响。
The new fuzzy importance calculating method solved the problem of median method that the basic events in minimum cut sets have the same fuzzy importance degree.
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