[1]LU Sen-lin,WANG Long.Application of CEEMD-FFT in Roller Bearing Fault Diagnosis[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):75-78.[doi:10.3969/j.issn.1671-6833.2015.01.018]
                                
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                                    Journal of Zhengzhou University (Engineering Science)[ISSN
                                    1671-6833/CN
                                    41-1339/T] Volume:
                                    36
                                    Number of periods:
                                    2015 01
                                    Page number:
                                    75-78
                                    Column:
                                    
                                    Public date:
                                    2015-01-10
                                
                                
                                    - Title:
 
                                    - 
                                        Application of CEEMD-FFT in Roller Bearing Fault Diagnosis
 
                                
                                
                                
                                    - Author(s):
 
                                    - 
                                        LU Sen-lin; WANG Long
 
                                    - 
                                        College of Automobile and ’Traffic Engineering,Jiangsu University ,Zhenjiang 212013,China
 
                                    - 
                                
 
                                
                                    - Keywords:
 
                                    - 
                                        roller bearing ; EMD; EEMD; CEEMD;  fault diagnosis
 
                                
                                
                                    - CLC:
 
                                    - 
                                        TH133.3 TP18
 
                                
                                
                                    - DOI:
 
                                    - 
                                        10.3969/j.issn.1671-6833.2015.01.018
 
                                
                                
                                
                                    - Abstract:
 
                                    - 
                                        Modal aliasing problem exists in nonlinear and non-stationary signal processing through EmpiricalMode Decomposition (EMD ) ;Ensemble Empirical Mode Decomposition EEMD can suppress modal aliasingproblems in some extent,but added white noise can not be completely neutralized.So,complementary Ensem-ble Empirical Mode Decomposition (CEEMD) is proposed,which can reduce the reconstruction error and ex-tract the best Intrinsic Mode Function ( IMF). Then,fast fourier transformation is applied to the lMF compo-nent to derive the characteristic frequency of the fault. Analyzing the vibration signal collected by roller bear-ing experiment proved the superiority of the method and it has some practical value.