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基于进化算法的模糊抗差理论在输电线路故障定位中应用
Application of evolutionary algorithm based fuzzy robust theory in transmission line fault locating
【摘要】 从模糊理论的角度,介绍了一种基于进化算法的数据处理方法。该方法通过建立模糊抗差回归模型确定数据的可能性回归区间,然后剔除回归区间外的数据;对保留的数据作最小二乘处理,最终达到提高计算精度和鲁棒性的目的。仿真结果证明了算法的有效性。
【Abstract】 A data processing method based on evolutionary algorithms is presented. The fuzzy robust regression model is established to determine the possible regression area of data. The out-area data are discarded and the reserved data are processed by least square method,which improves the calculation precision and robusticity. The simulative results verify its effectiveness.
【关键词】 模糊抗差回归分析;
数据处理;
故障定位;
进化算法;
【Key words】 fuzzy robust regression analysis; data processing; fault locating; evolutionary algorithm;
【Key words】 fuzzy robust regression analysis; data processing; fault locating; evolutionary algorithm;
- 【文献出处】 电力自动化设备 ,Electric Power Automation Equipment , 编辑部邮箱 ,2005年03期
- 【分类号】TM75
- 【被引频次】5
- 【下载频次】121