Application of Spectral Kurtosis to Acoustic Emission Signatures from Bearings

  • Babak Eftekharnejad
  • Mhmod Hamel
  • Abdulmajid Addali
  • David Mba
Conference paper


The application of Acoustic Emission (AE) in condition monitoring of rotating machines has been well documented. The majority of research works in this field has involved the use of conventional time domain analysis for processing the AE signals from the machines and there has been little attention given to application of more advanced signal processing methods. This research presents a study in which some advanced signal processing techniques such as Wavelet and Spectral Kurtosis (SK) has been applied to offer improved diagnosis for bearing defect detection


Acoustic Emission Wind Turbine Acoustic Emission Signature Short Time Fourier Transform Acoustic Emission Activity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Al-Ghamd, A.M., Mba, D.: A Comparative Experimental Study on the use of Acoustic Emission and Vibration Analysis for Bearing Defect Identification and Estimation of Defect Size. Mechanical Systems and Signal Processing 20(7), 1537–1571 (2006)CrossRefGoogle Scholar
  2. Antoni, J.: The Spectral Kurtosis: A Useful Tool for Characterising Non-Stationary Signals. Mechanical Systems and Signal Processing 20(2), 282–307 (2006)CrossRefGoogle Scholar
  3. Antoni, J.: Fast Computation of the Kurtogram for the Detection of Transient Faults. Mechanical Systems and Signal Processing 21(1), 108–124 (2007)CrossRefGoogle Scholar
  4. Antoni, J., Randall, R.B.: The Spectral Kurtosis: Application to the Vibratory Surveillance and Diagnostics of Rotating Machines. Mechanical Systems and Signal Processing 20(2), 308–331 (2006)CrossRefGoogle Scholar
  5. Drosjack, M.J., Houser, D.R.: Experimental and Theoretical Study of the Effects of Simulated Pitch Line Pitting on the Vibration of A Geared System. American Society of Mechanical Engineers (Paper) (77-), 11 (1977)Google Scholar
  6. Dwyer, R.F.: A Technique for Improving Detection and Estimation of Signals Contaminated by Under Ice Noise. Journal of the Acoustical Society of America 74(1), 124–130 (1983)MathSciNetCrossRefGoogle Scholar
  7. Ebersbach, S., Peng, Z., Kessissoglou, N.J.: The Investigation of the Condition and Faults of a Spur Gearbox using Vibration and Wear Debris Analysis Techniques. Wear 260(1-2), 16–24 (2006)CrossRefGoogle Scholar
  8. Elforjani, M., Mba, D.: Assessment of Natural Crack Initiation and its Propagation in Slow Speed Bearings. Nondestructive Testing and Evaluation 24(3), 261 (2009)CrossRefGoogle Scholar
  9. Hodges, D., Pearce, J.: Gearbox Condition Monitoring, Gearing and gearbox practice today. Anonymous ImechE (1995)Google Scholar
  10. Jensen, A., La Cour-Harbo, A.: Ripples in mathematics: the discrete wavelet transform, p. 246. Springer, London (2001)zbMATHGoogle Scholar
  11. Lebold, M., McClintic, K., Campbell, R.: Review of vibration analysis methods for gearbox diagnostics and prognostics. In: Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology, 634, edn., Virginia Beach (2000)Google Scholar
  12. Mba, D., Rao, R.B.K.N.: Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines: Bearings, Pumps, Gearboxes, Engines, and Rotating Structures. Shock and Vibration Digest 38(1), 3–16 (2006)CrossRefGoogle Scholar
  13. McNiff, B.P., Musial, W.D., Errichello, R.: Variations in Gear Fatigue Life for Different Wind Turbine Braking Strategies, AWEA Wind Power 90. Anonymous Solar Energy Research Institute (1990)Google Scholar
  14. Mine Safety and Health Administration, Metal/Nonmetal Daily Fatality Report- Year End (2009)Google Scholar
  15. Randall, R.B.: Applications of Spectral Kurtosis in Machine Diagnostics and Prognostics. Key Engineering Materials 293-294, 21–30 (2005)CrossRefGoogle Scholar
  16. Rao, B.K.N.: Handbook of condition monitoring, p. 603. Elsevier Advanced Technology, Oxford (1996)Google Scholar
  17. Sikorska, J.Z., Mba, D.: Challenges and Obstacles in the Application of Acoustic Emission to Process Machinery. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 222(1), 1–19 (2008)CrossRefGoogle Scholar
  18. Tan, C.K.: An Investigation on the Diagnostic and Prognostic Capabilities of Acoustic Emission on Spur Gearbox. Cranfield University (2005)Google Scholar
  19. Vinall, P.D.: Airworthiness of helicopter. In: Symposion on Helicopter Transmissions. Royal Aeronautical Society (1980)Google Scholar
  20. Whitby, R.D.: Wind Turbine Gearbox Maintenance (2008)Google Scholar
  21. Yesilyurt, I., Gu, F., Ball, A.D.: Gear Tooth Stiffness Reduction Measurement using Modal Analysis and its use in Wear Fault Severity Assessment of Spur Gears. NDT and E International 36(5), 357–372 (2003)CrossRefGoogle Scholar
  22. Yoshioka, T.: Application of Acoustic Emission Technique to Detection of Rolling Bearing Failure. J. Soc. Tribologists Lubrication Eng. 49 (1992)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Babak Eftekharnejad
    • 1
  • Mhmod Hamel
    • 2
  • Abdulmajid Addali
    • 2
  • David Mba
    • 2
  1. 1.Renewable Energy Systems Ltd, Kings LangleyHertfordshireUK
  2. 2.School of EngineeringCranfield UniversityBedfordUK

Personalised recommendations