A Improved method of empirical mode decomposition and its applications in Rotating Machinery Fault Diagnosis
SHI Peiming1 DING Xuejuan1 LI Geng1 HAN Dongying 2
1. Institute of Electrical Engineering Yanshan University, Qinhuangdao 0660042. College of Vehicles and Energy Yanshan University Yanshan University, Qinhuangdao 066004
Abstract：For the end effect of empirical mode decomposition(EMD), a novel integrated method that combines waveform feature matching extension and cosine window function is proposed. Firstly, waveform feature matching extension achieves a smooth transition at the junction of the extension and the original signal, and avoids the instantaneous frequency jump at the boundary. Secondly, for extension error exists in the extension method, the signal is processed by cosine window function. Thus the error is controlled at both ends so that it can not (or at a slower speed) spread to the internal signal. This ensures the correct decomposition of the effective data, improves the decomposition accuracy and achieves the EMD algorithm improvement. Experimental results and misalignment fault diagnosis example show that the improved method can inhibit end effect effectively.
时培明 丁雪娟 李庚 韩东颖. 一种EMD改进方法及其在旋转机械故障诊断中的应用[J]. , 2013, 32(4): 185-190.
SHI Peiming DING Xuejuan LI Geng HAN Dongying . A Improved method of empirical mode decomposition and its applications in Rotating Machinery Fault Diagnosis . , 2013, 32(4): 185-190.
2013, Vol. 32 
