Study of steady-state feature extraction algorithm based on EMD

摘要：

　　The accuracy of appliance identification is mainly determined by the selection of features in Non-Intrusive Load Monitoring(NILM).The time domain features extracted based on the appliance steady-state depends highly on the stable voltage.This paper proposes a frequency domain features extraction method,which applies the empirical mode decomposition(EMD)principle.The combination of frequency domain features and time domain features can effectively reduce the impact of voltage fluctuations on the accuracy of electrical identification.Through experimental comparison,it is proved that this method can solve time domain features overlapping,with higher anti-interference ability and robustness,especially for the non-resistive electronic loads.

作者: Xianqing Huang Bo Yin Rui Zhang Zhiqiang Wei

作者单位: College of information science and engineering,Ocean University of China,Qingdao,China Qingdao Haier Smart Technology R&D Co.,Ltd.,Qingdao,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-8

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）