Denoising of the Base Vibration Signal Based on EEMD

X.J. Li; K. Wang; G.B. Wang; Q. Li

doi:10.4028/www.scientific.net/AMM.143-144.689

Paper Titles

Harmonic Response Analysis of Rotor-Rolling Bearing-Base System for Fault Diagnosis of Rotating Machinery Based on Base
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Research on the Imbalance-Crack Coupling Fault Diagnosis Based on Wavelet Packet and Energy Spectrum Analysis
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Fault Diagnosis for Motor Rotor Based on KPCA-SVM
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A Kind of Design of Satellite Simulation System Based on HLA
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Denoising of the Base Vibration Signal Based on EEMD
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Study on High Anti-Vibration Machine Bed
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Study on the Conical Spiral Tube Bundle Heat Exchangers with Pulsation Flow Generator Structure
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Multi Heterogeneous Information Fusion to Facilitate Fault Diagnosis of Mechatronic Equipments
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Observability Analysis and Simulation for RAPINS/Gravity Matching Integrated Navigation System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144Denoising of the Base Vibration Signal Based on...

Denoising of the Base Vibration Signal Based on EEMD

Abstract:

Vibration signals of rotating machinery on the base are very weak and always buried in noisy noise; the common denoising methods have become powerless. It presents an ensemble empirical mode decomposition method (EEMD) that is used to denoise for the base vibration signal, which not only to overcome the problem of mode mixing, but also to avoid the selection of wavelet basis function and decomposition level of the problem. Experimental results of simulation and measured data show that EEMD method can effectively reduce the base vibration signal noise, which is better than the wavelet and EMD denoising method.