Rolling element bearings are essential components of rotating machinery. Therefore, preventing bearing failure is a subject of great interest. Effective failure prevention requires maintenance decisions that are based on both detection of bearing faults and estimation of the fault severity. Since spalling of raceways is a common bearing failure mechanism, the objective of this study is to estimate the spall width by using vibration analysis.
The ball-spall interaction of faults in both the inner and outer races was studied using a dynamic model of bearings. A new algorithm for determination of the spall width is proposed based on physical insights from the dynamic model. Experimental results are used to validate this algorithm in the case of faults in the outer race.
How to Cite
Gilardi, G., & Sharf, I. (2002). Literature survey of contact dynamics modelling. Mechanism and machine theory, 37(10), 1213–1239.
Kogan, G., Klein, R., Kushnirsky, A., & Bortman, J. (2015). Toward a 3d dynamic model of a faulty duplex ball bearing. Mechanical Systems and Signal Processing, 54, 243–258.
McFadden, P., & Smith, J. (1984). Model for the vibration produced by a single point defect in a rolling element bearing. Journal of sound and vibration, 96(1), 69–82.
Mendelovich, M., Sanders, Y., Kogan, G., Battat, M., Klein, R., & Bortman, J. (2014). Characterization of fault size in bearings. Annual conference of the Prognostics and Health Management Society, Fort Worth, Texas, September 2014.
Sawalhi, N., & Randall, R. (2011). Vibration response of spalled rolling element bearings: Observations, simulations and signal processing techniques to track the spall size. Mechanical Systems and Signal Processing, 25(3), 846–870.
Singh, S., Köpke, U. G., Howard, C. Q., & Petersen, D. (2014). Analyses of contact forces and vibration response for a defective rolling element bearing using an explicit dynamics finite element model. Journal of Sound and Vibration, 333(21), 5356–5377.
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