机译:复杂电能质量扰动分类的三层贝叶斯网络
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China;
Feature extraction; Training; Bayes methods; Power quality; Electromagnetics; Neural networks; Power system stability;
机译:使用神经网络对单个和组合电能质量扰动进行检测和分类
机译:使用离散小波变换和小波网络的电能质量扰动检测和分类
机译:使用希尔伯特变换和RBF网络的电能质量扰动分类
机译:基于复小波变换和人工神经网络的电能质量扰动检测与分类
机译:探索电能质量扰动和故障类型分类的新方法。
机译:基于希尔伯特变换的智能传感器用于电能质量扰动的检测分类和量化
机译:基于KF-ML辅助S变换和多层前馈神经网络的电能质量扰动分类