Beating Phenomenon of Multi-Harmonics Defect Frequencies in a Rolling Element Bearing: Case Study from Water Pumping Station
Commenced in January 2007
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Beating Phenomenon of Multi-Harmonics Defect Frequencies in a Rolling Element Bearing: Case Study from Water Pumping Station

Authors: Fathi N. Mayoof

Abstract:

Rolling element bearings are widely used in industry, especially where high load capacity is required. The diagnosis of their conditions is essential matter for downtime reduction and saving cost of maintenance. Therefore, an intensive analysis of frequency spectrum of their faults must be carried out in order to determine the main reason of the fault. This paper focus on a beating phenomena observed in the waveform (time domain) of a cylindrical rolling element bearing. The beating frequencies were not related to any sources nearby the machine nor any other malfunctions (unbalance, misalignment ...etc). More investigation on the spike energy and the frequency spectrum indicated a problem with races of the bearing. Multi-harmonics of the fundamental defects frequencies were observed. Two of them were close to each other in magnitude those were the source of the beating phenomena.

Keywords: Bearing, beating, spike energy, vibration.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079636

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[1] M. Xu & R. D. Marangoni. Vibration analysis of a motor-flexible coupling-rotor system subject to misalignment and unbalance, part II: experimental validation. Journal of sound and vibration. 1994. 176(5), 681-694.
[2] D.G. Haung. Characteristics of torsional vibrations of a shaft with unbalance. Journal of sound and vibration. 2007. 308, 692-698.
[3] R. B. W. Heng and M. j. M. Nor. Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition. Applied acoustics. 1998. Vol 53, No. 1-3, pp 221-226.
[4] H. R. Martin & F. Honarvar. Application of statistical moments to bearing failure detection. Applied acoustics. 1995. Vol 44, pp 67-77.
[5] Sadettin Orhan, Nizami Akturk & Veli Celik. Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: comprehensive case studies. NDT&E International 39. 2006. 293- 298.