基于自适应序贯相似性检测波形匹配延拓的EMD端点效应抑制
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  • 英文篇名:Waveform extension method based on similarity sequential detection for the end effects reduction of EMD
  • 作者:杨剑锋 ; 石戈戈 ; 周天奇 ; 高锋阳
  • 英文作者:YANG Jianfeng;SHI Gege;ZHOU Tianqi;GAO Fengyang;School of Automation and Electrical Engineering,Lanzhou Jiaotong University;Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education,Lanzhou Jiaotong University;
  • 关键词:经验模态分解 ; 端点效应 ; 序贯相似性检测 ; 波形延拓 ; 自适应
  • 英文关键词:empirical mode decompsition;;end effect;;similarity sequential detection;;waveform extension;;self-daptative
  • 中文刊名:ZDCJ
  • 英文刊名:Journal of Vibration and Shock
  • 机构:兰州交通大学自动化与电气工程学院;兰州交通大学光电技术与智能控制教育部重点实验室;
  • 出版日期:2018-09-28
  • 出版单位:振动与冲击
  • 年:2018
  • 期:v.37;No.326
  • 基金:甘肃省博士后科研项目(2015-7);; 兰州市人才创新创业项目资助(2017-RC-95);; 兰州交通大学优秀科研团队项目资助(201701)
  • 语种:中文;
  • 页:ZDCJ201818017
  • 页数:5
  • CN:18
  • ISSN:31-1316/TU
  • 分类号:126-130
摘要
针对经验模态分解过程中信号两端出现的严重失真问题,在波形匹配延拓的基础上,提出了一种基于自适应序贯相似性检测波形匹配延拓的端点效应抑制方法。该算法引入基于精度的截止阈值,使算法有了很好的直观性和快速性。再通过对折自适应调节阈值,进一步减少遍历所需时间。通过对模拟信号和实际工程信号分别进行仿真分析,结果表明该算法能够有效的抑制在经验模态分解过程中出现的端点效应问题,改善分解效果。
        Aiming at the crucial problem of ending effect which can lead to waveform distortion for double signals in the decomposition process of Empirical Mode Decomposition( EMD),a novel method for restraining the ending effect was proposed based on the self-adaptive sequential similarity detection of waveform matching extending. In the method,the introduction of cut-off precision threshold makes the algorithm intuitive and fast. And the folded self-adaptive threshold adjustment further reduces the time used for traversal. A simulation and analysis were carried out on analog signals and practical engineering signals,respectively. The results indicate that the algorithm proposed is able to effectively restrain the ending effect in the decomposition process of EMD and improves the overall decomposition efficacy.
引文
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