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机译:基于经验模态分解和核矢量回归的大型配电系统故障定位
Department of Power and Control Engineering, School of Electrical and Computer Engineering Shiraz University, Shiraz, Iran;
School of Electrical and Information Engineering, The University of Sydney, Sydney, New South Wales, Australia;
Department of Power and Control Engineering, School of Electrical and Computer Engineering Shiraz University, Shiraz, Iran;
Department of Power and Control Engineering, School of Electrical and Computer Engineering Shiraz University, Shiraz, Iran;
Department of Power and Control Engineering, School of Electrical and Computer Engineering Shiraz University, Shiraz, Iran;
Core vector regression; Empirical mode decomposition; Distribution network; Energy spectrum; Fault locating; Path characteristic frequency;
机译:使用支持向量机对配电系统中的故障进行分类和定位的分类和回归分析
机译:基于知识的回归技术用于配电系统故障定位的最优调整的混合方法
机译:径向分布系统中故障定位的人工神经网络和支持向量机方法
机译:基于集合经验模式分解和支持向量回归的滚动轴承故障度识别
机译:不同相对逻辑回归产生的倾向分数分布对倾向分数方法的性能
机译:基于经验模态分解样本熵和深信度网络相结合的旋转机械结构故障精确诊断方法
机译:一种基于知识的回归技术在配电系统定位故障中的优化调整的混合方法