Rolling element bearings absolute life prediction using modal analysis

In this paper, the authors introduce an experimental procedure for predicting the fatigue life of each individual rolling element bearing separately using vibration modal analysis. The experimental procedure was developed based on a statistical analysis. A statistical analysis was performed to find an empirical model that correlates the dynamic load capacity of rolling bearings to their dynamic characteristics (Natural frequencies and damping). These dynamic characteristics are obtained from the frequency response function of each individual bearing that results from vibration modal analysis. A modified formula to the already known Lundberg-Palmgren life formula is proposed for rolling element bearings. Given the modified formula, one can predict the fatigue life of each individual rolling element bearing based on its dynamic characteristics. The paper compares the results from the modified formula with those from Lundberg-Palmgren formula. The modified formula provides an accurate prediction for the fatigue life of each individual bearing based on its dynamic characteristics. The experimental validation of the modified formula is considered for future work. Therefore, it can be used in various applications of rolling element bearings in machinery systems.

[1]  A. El-Khatib,et al.  Correlating the Vibration Modal Analysis Parameters to the Material Impact Toughness for Austempered Ductile Iron , 2015 .

[2]  Robert X. Gao,et al.  A multi-time scale approach to remaining useful life prediction in rolling bearing , 2017 .

[3]  T. A. Harris,et al.  Rolling Bearing Analysis , 1967 .

[4]  A. A. Hamada,et al.  Prediction of fatigue life of glass fiber reinforced polyester composites using modal testing , 2014 .

[5]  Robert L. Mason,et al.  Statistical Design and Analysis of Experiments , 2003 .

[6]  Yaolong Chen,et al.  Main failure mode of oil-air lubricated rolling bearing installed in high speed machining , 2017 .

[7]  Yusuf Altintas,et al.  Prediction of frequency response function (FRF) of asymmetric tools from the analytical coupling of spindle and beam models of holder and tool , 2015 .

[8]  Chul-Woo Kim,et al.  Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge , 2016 .

[9]  Nagaraj K. Arakere,et al.  Gigacycle rolling contact fatigue of bearing steels: A review , 2016 .

[10]  Radivoje Mitrovic,et al.  Statistical correlation between vibration characteristics, surface temperatures and service life of rolling bearings – artificially contaminated by open pit coal mine debris particles , 2016 .

[11]  Erwin V. Zaretsky,et al.  A. Palmgren Revisited-A Basis for Bearing Life Prediction , 1997 .

[12]  Ian Howard,et al.  A Review of Rolling Element Bearing Vibration 'Detection, Diagnosis and Prognosis', , 1994 .

[13]  Jingzhe Pan,et al.  Detection of degradation in polyester implants by analysing mode shapes of structure vibration. , 2016, Journal of the mechanical behavior of biomedical materials.

[14]  T. Hassard,et al.  Applied Linear Regression , 2005 .

[15]  S. M. Abdel-Rahman,et al.  Bearing problems’ effects on the dynamic performance of pumping stations , 2013 .

[16]  George A. F. Seber,et al.  Linear regression analysis , 1977 .

[17]  Erwin V. Zaretsky,et al.  Rolling Bearing Life Prediction, Theory, and Application , 2016 .

[18]  A. Elkhatib,et al.  Prediction of fatigue life using modal analysis for grey and ductile cast iron , 2007 .

[19]  S. Weisberg.  Applied Linear Regression: Weisberg/Applied Linear Regression 3e , 2005 .

[20]  A. Olver,et al.  Propagation of surface initiated rolling contact fatigue cracks in bearing steel , 2017 .