scholarly journals Investigation on the Effects of Structural Dynamics on Rolling Bearing Fault Diagnosis by Means of Multibody Simulation

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Reza Golafshan ◽  
Georg Jacobs ◽  
Matthias Wegerhoff ◽  
Pascal Drichel ◽  
Joerg Berroth
Keyword(s):  
Fault Detection ◽  
Mechanical Systems ◽  
Rolling Bearing ◽  
Multibody Simulation ◽  
Bearing Fault ◽  
Transfer Path ◽  
Bearing Fault Diagnosis ◽  
Bearing Condition Monitoring ◽  
Complex Mechanical Systems

The present study aims to combine the fields modal analysis and signal processing and to show the use of Frequency Response Function (FRF), as a vibration transfer path, in enhancing reliability and abilities of the next generation vibration-based rolling bearing condition monitoring (CM) systems in complex mechanical systems. In line with this purpose, the hereby-presented paper employs an appropriate numerical model, that is, Multibody Simulation (MBS) of a vehicle’s drivetrain as a manner for numerical modal and structural analyses. For this, first, the principles of vibration-based bearing fault detection are reviewed and presented. Following that, a summary of MBS modelling and validating strategies are given. Then, the validated MBS model is used as a case study for further investigations. The results can confirm existence of challenges in fault detection of rolling bearings, in particular in complex mechanical systems. In further discussions, the capability of FRFs in fault localization and determination of ideal sensor positions is discussed in some detail. Finally, concluding remarks and suggestions for future works are summarized.

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.

scholarly journals Rolling bearing fault diagnosis method based on VMD and LSSVM

2021 ◽  
Vol 1792 (1) ◽  
pp. 012035
Author(s):  
Xingtong Zhu ◽  
Zhiling Huang ◽  
Jinfeng Chen ◽  
Junhao Lu
Keyword(s):  
Fault Diagnosis ◽  
Rolling Bearing ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Diagnosis Method
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