A de-noising research for fault acoustic emission signal based on EMD and correlation coefficient
Liu Dongying1 Deng Aidong1 Liu Zhenyuan2Li Jing3Zhang Rui1Huang Hongwei4
1 National Engineering Research Center of Turbo-generator Vibration, Southeast University, Nanjing, 210096, China
2 NingBo Water Supply Co.LTD,Ningbo,315041
3 School of Information Science and Engineering, Southeast University, Nanjing, 210096, China
4 SPIC Henan Power Limited Company Technology & Information Center, Zhengzhou 450001, China
A number of non-stationary and non-linear noises often interfere with the useful acoustic emission(AE)signals in the world,which induce the difficulty in AE recognition.Based on the principle of correlation coefficient,a de-noising method for rubbing AE signals of the rotating machine based on empirical mode decomposition(EMD) was proposed.The original noise polluted AE signal can be divided into several intrinsic mode functions(IMFs) derived from EMD.Through calculating each correlation coefficient between IMFs and AE siginal and finding out their changing regularities with the EMD’s characteristic of filtering,the modes reflecting the important structures of the signal were chosen to combine to form partially reconstruct de-noised signal.Simulations were conducted for rub-impact AE signal polluted by different kinds of noises using this method.Experimental results indicate that this method can not only effectively and adaptively remove noises,but also get the stable results which can not be affected by subjective parameters.
刘东瀛1 邓艾东1 刘振元2 李晶3 张瑞1 黄宏伟4. 基于EMD与相关系数原理的故障声发射信号降噪研究[J]. 振动与冲击, 2017, 36(19): 71-77.
Liu Dongying1 Deng Aidong1 Liu Zhenyuan2Li Jing3Zhang Rui1Huang Hongwei4. A de-noising research for fault acoustic emission signal based on EMD and correlation coefficient. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(19): 71-77.
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