Study Various Defects of Ball Bearings through Different Vibration Techniques

Nouby M. Ghazaly^1, , G. T. Abd el- Jaber¹ and Nadica Stojanovic²

¹Mechanical Engineering Department, Faculty of Engineering, South Valley University, Qena-83521, Egypt

²University of Kragujevac, Faculty of Engineering, 6 Sestre Janjić STR., 34000 Kragujevac, Serbia

Cite this paper:
Nouby M. Ghazaly, G. T. Abd el- Jaber and Nadica Stojanovic. Study Various Defects of Ball Bearings through Different Vibration Techniques. American Journal of Mechanical Engineering. 2019; 7(3):146-150. doi: 10.12691/ajme-7-3-5

Abstract

The main objective of this study is to evaluate ball bearing defects under different operation conditions through vibration measurements. There are several tests conducted for healthy and defective bearing under variable speeds and load conditions. Experimental tests are conducted for six sets of ball bearings. Initially, a good bearing is fastened in the test rig and vibration signals are measured using the FFT analyzer to show the base-line performance of a healthy bearing. Then, the good bearing is exchanged by defective bearing and vibration signals are measured for each case separately under the same operation condition. Frequency domain, time domain and root-mean-square are used to describe various bearing defects. The experimental results are showed that each one of these methods is useful to identify the bearing problems. Also, the results proved that the significant variation in the root-mean-square at different rotational speed.

Keywords:
condition monitoring defective bearing time domain frequency domain analysis root-mean-square

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Devendiran S., Manivannan K., 2016, Vibration based condition monitoring and fault diagnosis technologies for bearing and gear components-a review, International Journal of Applied Engineering Research, 11(6), pp. 3966-3975.
[2]	Nabhan, A., Nouby, M., Sami, A. M., Mousa, M. O., 2015, Bearing fault detection techniques - a review, Turkish Journal of Engineering, Sciences and Technology, 3(2).
[3]	Tandon, N., Choudhury, A., 1999, A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings, Tribology International, 32(8), pp. 469-480.
[4]	Tandon, N., Yadava, G. S., Ramakrishna, K. M., 2007, A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings, Mechanical Systems and Signal Processing, 21(1), pp. 244-256.
[5]	Liu, J, Shao, Y. M, Zuo, M. J, 2013, The effects of the shape of localized defect in ball bearings on the vibration waveform, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 227(3), pp. 261-274.
[6]	Sopanen, J, Mikkola, A, 2003, Dynamic model of a deep-groove ball bearing including localized and distributed defects, Part 1: Theory, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 217(3), pp. 201-211.
[7]	Sopanen, J, Mikkola, A., 2003, Dynamic model of a deep- groove ball bearing including localized and distributed defects, Part 2: implementation and results. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 217(3), pp. 213-223.
[8]	Abhinay, V., Dube, L.S., Dhamande, P.G., Kulkarni, Vibration based condition assessment of rolling element bearings with localized defects, International Journal of Scientific & Technology Research, 2(4), pp. 149-155.
[9]	Randall, R. B., 2011, Vibration-based condition monitoring: industrial, aerospace and automotive applications, Wiley.
[10]	Slavic, J., Brkovic, A., Boltezar, M., 2011, Typical bearing-fault rating using force measurements-application to real data, Journal of Vibration and Control, 17(14), pp. 2164-2174.
[11]	Mathew, J., Alfredson, R. J., 1984, The condition monitoring of rolling element bearings using vibration analysis, Journal of Vibration, Acoustics, Stress, and Reliability in Design, 106(3), pp. 447-453.
[12]	Salem, A., Aly, A., Sassi, S., Renno, J., 2018, Time-domain based quantification of surface degradation for better monitoring of the health condition of ball bearings, Vibration, 1(1), pp. 172-191.