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1)  Dynamic Association
动态关联
2)  dynamic interrelated method
动态关联法
1.
The simulation model is tested and validated with the dynamic interrelated method.
Lab建立了其虚拟样机模型,提出并简述了动态关联的模型校核验证方法,并利用动态关联法,对所建立的虚拟样机模型进行了验证,确认所建立的减速器虚拟样机符合实际情况,同时该虚拟样机模型通过加载得到了二档速度B级路面下太阳齿轮受到的扭矩,为下一步齿轮的校核打下了基础。
3)  dynamic interconnected terms
动态关联项
1.
To investigates the problem of robust fault detection for a class of uncertain large-scale system,the objective is to minimize the difference between the residual and the weighted fault and to enhance the robustness to dynamic interconnected terms、control inputs and model uncertainties,The existence condition of the filter is established by means of linear matrix linear matrix inequalities.
讨论了不确定性关联大系统的鲁棒故障检测问题,使残差信号和加权故障信号之间的误差最小,并对动态关联项、控制输入和系统的不确定性具有鲁棒性进行了探讨,应用线性矩阵不等式得到此类不确定性系统的鲁棒故障检测滤波器的存在条件。
4)  dynamic incidence-degree
动态关联度
1.
A concept of dynamic incidence-degree is put forward, and a static optimal algorithm and a semi-dynamic optimal algorithm for PMU placement based on dynamic incidence-degree are proposed.
研究了在电网中配置同步相量测量单元(PMU)以实现潮流方程直接可解的方法,提出了动态关联度的概念,在此基础上提出了基于动态关联度配置PMU的静态优化算法和半动态优化算法,并通过算例分析比较了两种方法与已有方法的性能。
5)  grey relevant dynamic matrix
灰关联动态矩阵
1.
The paper presented a new method to diagnose the maximum contribution point of coal mills based on grey relevant dynamic matrix and axis vibration analysis according to the existed limitation of judgment method of whether the mid reserve ball mills can reach maximum milling contribution.
针对发电厂中储式钢球磨煤机是否能达到最大制粉出力的判断方法存在的局限性,提出了一种基于灰关联动态矩阵及轴振分析的磨煤机最大出力点的诊断新方法。
6)  dynamic association rule
动态关联规则
1.
Research of mining meta-association rules for dynamic association rule based on model of Grey-Markov;
基于灰色Markov模型动态关联规则的元规则挖掘
2.
In fact,it is possible that a rule will change greatly with time,this paper introduces a rule called dynamic association rule and the definition of the meta-association rules for dynamic association rule,focuses on introducing the method which by the model of time series to mine the meta-association rules for dynamic association rule,and proves that this method is fit on the historical data.
针对现有关联规则挖掘算法大多是挖掘一种静态关联规则的情况,介绍动态关联规则的定义,给出动态关联规则元规则的形式化定义,解决规则随时间的推移可能会有很大变化的情况下为规则建立元规则的问题,描述一种基于时间序列模型的预测和分析动态关联规则的元规则的方法,从而较好地拟合历史数据,给出满足一定显著性水平预测趋势模型的方程,挖掘规则的变化趋势,为规则建立元规则。
补充资料:Gilliland关联
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性质:1940年E. R. Gilliland以50组二元及多元蒸馏的逐板计算结果为基础,提出精馏塔中回流比与分离所需理论塔板数的关联。在此关联中,以(N-Nm)/(N+1)为纵坐标,(R-Rm)/(R+1)为横坐标作图得出一条关联曲线,N为理论塔板数;Nm为最小理论塔板数;R为回流比L/D,L为塔内回流量,mol;D为塔顶产品量,mol;Rm为最小回流比。1972年V. K. Mdokanov等人曾将此关联曲线近似的用下式表示: 其中

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