Bearing Condition Monitoring with Acoustic Emission Techniques

Authors: Faisal AlShammari, Abdulmajid Addali

Abstract:

Monitoring the conditions of rotating machinery, such as bearings, is important in order to improve the stability of work. Acoustic Emission (AE) and vibration analysis are some of the most accomplished techniques used for this purpose. Acoustic emission has the ability to detect the initial phase of component degradation. Moreover, it has been observed that vibration analysis is not as successful at low rotational speeds (below 100 rpm). This because the energy generated within this speed region is not detectable using conventional vibration. From this perspective, this paper has presented a brief review of using acoustic emission techniques for monitoring bearing conditions.

Keywords: Condition monitoring, stress wave analysis, low-speed bearings, bearing defect diagnosis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1110287

References:

[1] H. L. Balderston, “The detection of incipient failure in bearings,” Materials Evaluation, vol. 27, no. 6. pp. 121–128, 1969.
[2] L. M. Rogers, “The application of vibration signature analysis and acoustic emission source location to on-line condition monitoring of anti-friction bearings,” Tribol. Int., vol. 12, no. 2, pp. 51–58, 1979.
[3] P. C. Sundt, “Monitoring Acoustic Emission to Detect Mechnaical Defects,” Instrum. Technol., vol. 26(12), no. December, pp. 43–44, 1979.
[4] T. Yoshioka and T. Fujiwara, “A new acoustic emission source locating system for the study of rolling contact fatigue,” 1982.
[5] M. W. Hawman and W. S. Galinaitis, “Acoustic emission monitoring of rolling element bearings,” IEEE 1988 Ultrason. Symp. Proc., vol. 2, pp. 885–889, 1988.
[6] J. D. McFadden, P D and Smith, “Acoustic emission transducers for the vibration monitoring of bearings at low speeds,” ARCHIVE: Proceedings of the Institution of Mechanical Engineers, Part C: Mechanical Engineering Science 1983-1988 (vols 197-202), vol. 198, no. 8. pp. 127–130, 1984.
[7] M. S. Tavakoli, “Review of Bearing Condition Monitoring — Application of Acoustic Emission Method,” in 1st International conference on Acoustic Emission in Manufacturing, 1991, pp. 453–460.
[8] T. Yoshioka, “Detection of rolling contact subsurface fatigue cracks using acoustic emission technique,” J. Soc. Tribol. Lubr. Eng., vol. 49, no. 4, pp. 303–308, 1992.
[9] D. Mba, “Condition monitoring of slow speed rotating machinery using stress waves,” PhD Theses, Cranfield University, 1998.
[10] J. Miettinen and P. Pataniitty, “Acoustic emission in monitoring extremely slowly rotating rolling bearing,” Proceedings of COMADEM ´99. pp. 289–297, 1999.
[11] N. Jamaludin and D. Mba, “Monitoring extremely slow rolling element bearings: Part I,” NDT E Int., vol. 35, pp. 349–358, 2002.
[12] N. Jamaludin and D. Mba, “Monitoring extremely slow rolling element bearings: Part II,” NDT E Int., vol. 35, pp. 359–366, 2002.
[13] Morhain and D. Mba, “Bearing defect diagnosis and acoustic emission,” J. Eng. Tribol., vol. 217, no. 4, pp. 275–272, 2003.
[14] Tan, “Application of Acoustic Emission to the Detection of Bearing Failures,” in Tribology conference, 1990, pp. 110–114.
[15] Choudhury and N. Tandon, “Application of acoustic emission technique for the detection of defects in rolling element bearings,” Tribol. Int., vol. 33, no. 1, pp. 39–45, 2000.
[16] N. Tandon and B. C. Nakara, “Defect detection in rolling element bearings by acoustic emission method,” J. Acoust. Emiss., vol. 9, no. 1, pp. 25–28, 1990.
[17] E. D. Price, a W. Lees, and M. I. Friswell, “Detection of severe sliding and pitting fatigue wear regimes through the use of broadband acoustic emission,” J. Eng. Tribol., vol. 219, no. Part J, pp. 85–98, 2005.
[18] M. Al-Ghamdi and D. Mba, “A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size,” Mech. Syst. Signal Process., vol. 20, no. 7, pp. 1537–1571, 2006.
[19] S. Al-Dossary, R. I. R. Hamzah, and D. Mba, “Observations of changes in acoustic emission waveform for varying seeded defect sizes in a rolling element bearing,” Appl. Acoust., vol. 70, no. 1, pp. 58–81, 2009.
[20] M. Elforjani and D. Mba, “Natural mechanical degradation measurements in slow speed bearings,” Eng. Fail. Anal., vol. 16, no. 1, pp. 521–532, 2009.
[21] Eftekharnejad, M. R. Carrasco, B. Charnley, and D. Mba, “The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing,” Mech. Syst. Signal Process., vol. 25, no. 1, pp. 266–284, 2011.
[22] L. Nohal, P. Mazal, and F. Hort, “Analysis of Surface Initiated Damage in Thrust Bearings with Acoustic Emission,” in 30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission, 2012.
[23] X. L. Feng, G. F. Wang, X. Da Qin, and C. Liu, “The Comparison of Acoustic Emission with Vibration for Fault Diagnosis of the Bearing,” Appl. Mech. Mater., vol. 141, no. 2, pp. 539–543, 2012.
[24] S. A. Niknam, V. Songmene, and Y. H. J. Au, “The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines,” Int. J. Adv. Manuf. Technol., vol. 69, no. 9–12, pp. 2679–2689, 2013.
[25] Towsyfyan, H., Raharjo, P., Gu, F., & Ball, “Characterization of Acoustic Emissions from Journal Bearings for Fault Detection,” in Journal Bearings for Fault Detection Detection, 2013.
[26] H. A. Parizi, M. Kafil, M. Ghayour, and S. Z. Rad, “Fault Diagnosis of Slow-Speed Rolling Element Bearings With the Use of Acoustic Emission and Wavelet Packet,” in The 21 st International Congress on Sound and Vibration, 2014, pp. 1–8.
[27] Ruiz-Cárcel, E. Hernani-Ros, Y. Cao, and D. Mba, “Use of Spectral Kurtosis for Improving Signal to Noise Ratio of Acoustic Emission Signal from Defective Bearings,” J. Fail. Anal. Prev., vol. 14, no. 3, pp. 363–371, 2014.