This method utilizes some of non-dimensional parameters and combined parameters, in order to interrelate the bearing load with parameters of working process and structure of a diesel engine.
本方法是利用了一些无因次参数及综合参数，使轴承负荷同柴油机工作过程及结构的某些参数联系起来。
In this paper, an optimization method of non - lineal system parameters based on genetic algorithms is presented which solves the problem of parameter optimization in non - lineal systems.
提出了一种基于遗传算法的非线性系统参数仿真优化方法，解决了非线性系统参数优化问题。
It shows a good performance to solve the optimal power flow problem with FACTS control by non-linear interior point method under the model and parameters present in the thesis.
结果表明：基于本文提出的FACTS模型和控制参数下，采用路径跟踪内点方法求解含有FACTS的电力系统潮流优化控制问题，具有较好的性能。
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