Research on restraining the end effect of EMD based on grey prediction model

摘要：

　　Empirical Mode Decomposition(EMD) is an advanced method for analyzing non-stationary signal, but there is an involved end issue in the course of getting two envelops of the data using spline interpolation. In this paper a novel method based on grey prediction model is proposed to restrain the end effect of empirical mode decomposition. In the grey prediction endpoint extension process, based on the theory of GM(1,1) prediction model, the endpoints are extended respectively to approach the variation tendency of the original data sequences. Simulation result shows that the proposed method can restrain end effect effectively and the parameters of grey prediction are easy to determine.

关键词： Empirical mode decomposition End effect Grey prediction Fault diagnosis

作者: Yong-tao ZONG Yan-xia SHEN Zhi-cheng JI Ding-hui WU Ting-long PAN

作者单位: Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 214-217

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）