Improved EEMD Method Research

Mei Jun Zhang; Si Chen Han; Chuang Wang; Shu Guang Li

doi:10.4028/www.scientific.net/AMR.479-481.1180

Paper Titles

The Development of Computing System with Equivalent Beam Element Based on Matlab Software
p.1161

Virtual Piezoelectric Vibration Absorber with LR Parallel Shunt Circuit
p.1165

Identification of Rotor System Noise Source Based on Sound Intensity Measurement
p.1169

The On-Line Detection for AC Contactor’s Vibration Noise
p.1174

Improved EEMD Method Research
p.1180

Estimation of Direction of Wavefront Propagation and Slowness Using Time Domain Wavenumber Analysis in Small-Size Dense Seismic Arrays
p.1186

Stability Analysis of a Transverse Cylindrical Grinding Process
p.1190

Internal Unsteady Flow Induced Vibration in Centrifugal Pump
p.1194

Dynamic and Control of Vibratory Road Roller Based on Magneto-Rheological Semi-Active Damper
p.1200

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Improved EEMD Method Research

Improved EEMD Method Research

Abstract:

In order to correct the endpoint effect and modal aliasing phenomenon in EMD and EEMD, improved EEMD is put forward in this paper. on the basis of the cause of the endpoint effect,the improvement measures are proposed. The pulse interference and noise pollution is suppressed by threshold noise reduction.The overshoot and undershoot phenomenon is controlled by improving 3-spline interpolation to fit envelope. The endpoint effects is lessened by signal SVM prolongation.Compared with EMD and EEMD, not only the IMF false component is reduced, the modal aliasing avoided, and effectively the endpoint effect restrained, the distortion problem in the signal decomposition produces corrected in the results of simulation signal and the measured signal by the improved EEMD in this paper.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1180-1185

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1180

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Online since:

February 2012

Authors:

Mei Jun Zhang, Si Chen Han, Chuang Wang, Shu Guang Li

Keywords:

EEMD, Endpoint Effect, IMF, Mechanical Fault Diagnosis, Vibration Signal Analysis

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References

[1] N.E Huang,Z Shen, S.R Long. Proceeding of the Royal Society，London，Vol. 454(1998) , pp.903-995

Google Scholar

[2] Maosheng Gong, Lili Xie. World Information on Earthquake Engineering In Chinese. Vol. 19(2003) , pp.39-43

Google Scholar

[3] Yunlong Zhou, Suobin Wang, Yongji Liu..Journal of Vibration Measurement and Diagnosis In Chinese, Vol. 31(2011),pp.582-585

Google Scholar

[4] Aijun Hu, Liansuo An, Guiji Tang. Journal of Mechanical Engineering In Chinese Vol.44(2008),pp.154-158

Google Scholar

[5] Chianming Wang, Minping Jia. Journal of Vibration Engineering In Chinese, Vol.19(2006),pp.283-288

Google Scholar

[6] Zhaohua Wu,Norden E. Huang. Advances in Adaptive Data Analysis，Vol.1(2009),pp.1-41

Google Scholar

[7] Y G Lei, Z J He, Y Y Zi. Mechanical Systems and Signal Processing, Vol. 23(2009), p.1327－1338

Google Scholar