Waveform extension method based on similarity sequential detection for the end effects reduction of EMD#br#
YANG Jianfeng1,2,SHI Gege1,ZHOU Tianqi1,GAO Fengyang1
1.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
2.Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China
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.
杨剑锋1.2，石戈戈1，周天奇1,高锋阳1. 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[J]. 振动与冲击, 2018, 37(18): 121-125.
YANG Jianfeng1,2,SHI Gege1,ZHOU Tianqi1,GAO Fengyang1. Waveform extension method based on similarity sequential detection for the end effects reduction of EMD#br#. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(18): 121-125.
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