计量学报2016，Vol.37Issue(2)：180-184,5.DOI:10.3969/j.issn.1000-1158.2016.02.16
基于支持向量机和窗函数的DEMD 端点效应抑制方法
End Effects Restraining of DEMD Based on Support Vector Machine and Window Function
摘要
Abstract
In the process of differential-based empirical mode decomposition(DEMD),as a result of the uncertainty of the signal at both ends of the border,the end effects exist in the course of getting envelop of data,it will affect the quality of differential-based empirical mode decomposition badly,so that the decompose intrinsic mode function has no actual physical meaning. A new method for restraining the end effects of DEMD based on support vector machine(SVM) and window function is proposed,by using support vector machine for data extension on both ends of the signal,and adding a special window function after extension,and the continuation error is reduced. Simulation results and rolling bearing fault diagnosis examples show that the improved method can inhibit end effect effectively and has a higher accuracy of decomposition in rotating machinery fault diagnosis.关键词
计量学/故障诊断/滚动轴承/微分经验模式分解/端点效应/支持向量机/窗函数Key words
metrology/fault diagnosis/rolling bearing/DEMD/end effect/support vector machine/window function分类
通用工业技术引用本文复制引用
孟宗,季艳,谷伟明,王娜..基于支持向量机和窗函数的DEMD 端点效应抑制方法[J].计量学报,2016,37(2):180-184,5.基金项目
国家自然科学基金（51105323）；河北省自然科学基金 （）
