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

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.

[1]  Daniel Rixen,et al.  Component transfer path analysis method with compensation for test bench dynamics , 2010 .

[2]  Georg Jacobs,et al.  Vibration-based Condition Monitoring for Wind Turbines: Applications of Singular Value Decomposition , 2017 .

[3]  J. Antoni The spectral kurtosis: a useful tool for characterising non-stationary signals , 2006 .

[4]  Stefan Boschert,et al.  Digital Twin—The Simulation Aspect , 2016 .

[5]  Juha Plunt Examples of Using Transfer Path Analysis (TPA) together with CAE-Models to Diagnose and Find Solutions for NVH Problems Late in the Vehicle Development Process , 2005 .

[6]  Diego Cabrera,et al.  A review on data-driven fault severity assessment in rolling bearings , 2018 .

[7]  H. Karagülle,et al.  Simulation and analysis of vibration signals generated by rolling element bearing with defects , 2003 .

[8]  Reza Golafshan,et al.  SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults , 2016 .

[9]  Robert B. Randall,et al.  Rolling element bearing diagnostics—A tutorial , 2011 .

[10]  Janko Slavič,et al.  Typical bearing-fault rating using force measurements: application to real data , 2011 .

[11]  P. D. McFadden,et al.  Model for the vibration produced by a single point defect in a rolling element bearing , 1984 .

[12]  Jan Becker Høgsberg,et al.  Evaluation of damping estimates by automated Operational Modal Analysis for offshore wind turbine tower vibrations , 2018 .

[13]  Seungchul Lee,et al.  Investigations of denoising source separation technique and its application to source separation and identification of mechanical vibration signals , 2014 .

[14]  Georg Jacobs,et al.  Modeling an electric vehicle powertrain and analysis of vibration characteristics , 2014 .

[15]  Torgeir Moan,et al.  A prognostic method for fault detection in wind turbine drivetrains , 2014 .

[16]  Maria Q. Feng,et al.  Statistical analysis of modal parameters of a suspension bridge based on Bayesian spectral density approach and SHM data , 2018 .

[17]  N. Tandon,et al.  A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings , 1999 .

[18]  Renata Klein Comparison of methods for separating vibration sources in rotating machinery , 2017 .

[19]  Kay Hameyer,et al.  Comprehensive model for the assessment of the NVH-behavior of electric vehicles , 2017 .

[20]  Georg Jacobs,et al.  Investigation on pitch system loads by means of an integral multi body simulation approach , 2016 .

[21]  Detlef Gerhard Product Lifecycle Management Challenges of CPPS , 2017, Multi-Disciplinary Engineering for Cyber-Physical Production Systems.

[22]  Mehdi Behzad,et al.  Modal-based damage identification for the nonlinear model of modern wind turbine blade , 2016 .