An Improved Symplectic Geometry Mode Decomposition Method for Rolling Bearing Fault Diagnosis under Variable Speed Conditions

2021 ◽  
Author(s):  
Guangyao Zhang ◽  
Yi Wang ◽  
Yi Qin ◽  
Baoping Tang
Keyword(s):  
Fault Diagnosis ◽  
Decomposition Method ◽  
Symplectic Geometry ◽  
Rolling Bearing ◽  
Variable Speed ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Mode Decomposition

Endpoint Effect Suppression Based on Multipoint Extension in Bearing Fault Diagnosis

2019 ◽  
Vol 33 (09) ◽  
pp. 1950015 ◽  
Author(s):  
Shuang Xia ◽  
Guohui Zhou
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Rolling Bearing ◽  
Experimental Comparison ◽  
End Effect ◽  
Hilbert Huang Transform ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Data Distortion ◽  
Mode Decomposition

In the rolling bearing fault detection, the Hilbert–Huang transform (HHT) has made remarkable achievements, but at present, the HHT still has the end effect problem, which will cause a lot of data distortion, spectrum confusion that will affect fault diagnosis result and error in the detection of rolling bearing faults in a serious manner. In response to this problem, this paper proposes a method of multi-point continuation at both ends of the signal to suppress the endpoint effectExtend at both ends of the signal, then perform empirical mode decomposition (EMD). The experimental comparison shows that the method has an effect on the endpoint effect.

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