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机构地区:[1]中国民航大学航空自动化学院,天津300300
出 处:《中国民航大学学报》2015年第1期36-40,共5页Journal of Civil Aviation University of China
基 金:中央高校基本科研业务费专项(ZXB2011A003);中国民航大学科研基金项目(2011ky E01);中国民航机务维修科研基地项目
摘 要:针对机场智能电网复杂易变的拓扑结构以及起飞环境因素对信号传输稳定性的影响,在深入分析现有机场智能电网报警信息的基础上,为了提高智能电网报警系统的处理速度和准确性,提出了基于基因算法的改进粗糙集的约简算法,同时应用结构优化思想,实现了在较少信息的条件下迅速准确获得报警信息的处理结果。重点分析了如何构造适当的目标函数、惩罚因子以及惩罚函数形成适应值函数,对粗糙集约简算法进行了修正。经仿真检验,基于基因算法的改进粗糙集约简算法可以快速地完成属性约简,对机场智能电网完成迅速、准确地报警有很好的效果。Aiming at the complicated and changeable topology of smart grid in airport as well as the adverse impact caused by the taking off environment in stability of signal transmission, a genetic algorithm based modified rough set is proposed and a structure optimization theory is applied to improve the processing speed and operating accuracy of the airport smart grid alarm system under the condition of analyzing the history alarms, which is of great ad- vantage to get the alarm information more quickly and accurately when given a little information. How to get the fitness function by finding the appropriate object function ,punishing factor and publishing function is taken as a point and modifies the rough set. At last, this modified rough set reduction algorithm is tested by simulation and its quick reducing ability is proved, which will be beneficial for the airport smart grid to get quick and accurate alarms.
分 类 号:V351[航空宇航科学与技术—人机与环境工程] TM769[电气工程—电力系统及自动化]
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