Skip to main content

Fault Diagnosis Through the Application of Cyclostationarity to Signals Measured

  • Conference paper
  • First Online:
Applied Mechanics, Behavior of Materials, and Engineering Systems

Abstract

In this paper we have used a frequency modulation method for detecting faults in the plain bearings and the gear teeth defects. This method is based mainly on the analysis of some cyclostationarity non-stationary signals. Indeed, a cyclostationary signal has hidden periodicities; that is to say, it is not periodic in the strict sense but some statistical properties of the signal are periodic. This frequency is used to identify the spectral correlation which has the advantage of being a function of a single variable frequency instead of two. The experimental validation is performed on the basis of signals measured in an industrial environment (turbogenerator). The application of this method to non stationed signals has helped to highlight very clearly the presence of defects in the bearings of the gearbox, which has been difficult to demonstrate by spectral analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Boulenger, A., Pachaud, C., et al.: Vibratory diagnosis in maintenance préventive, pp. 239–295. Dunod, Paris (1998) ISBN 2100041053

    Google Scholar 

  2. Heng, J.: Practical of the preventive maintenance, 1st edn. Mechanics-Tire-Hydraulics-Electricity-cold. Dunod, Paris (2002)

    Google Scholar 

  3. Heng, J.: Practical of the preventive maintenance, 3rd edn. Mechanics-Tire-Hydraulics-Electricity-Cold. Dunod, Paris (2005)

    Google Scholar 

  4. Muller, A.: Contribution to the proactive maintenance of manufacturing system: formalisation of the prognosis process. Ph.D. Thesis, IAEM & Lorraine University. Henri Poincare (2005)

    Google Scholar 

  5. Heng, J.: Practical of the preventive maintenance, 3rd edn. Mechanics Tire-Hydraulics-Electricity-cold. Dunod, Paris (2011)

    Google Scholar 

  6. Estoque, P.: A methodological approach numerical and experimental support for the detection and monitoring of vibration fault chipping ball bearing. Ph.D. Thesis, University of Lille (2004)

    Google Scholar 

  7. Antoni, J.: Cyclostationarity by examples. Mech. Syst. Sig. Process. 23, 987–1036 (2009)

    Article  Google Scholar 

  8. Boustany, R., Antoni, J.: A subspace method for the blind extraction of a cyclostationarity source: application to rolling element bearing diagnostics. Mech. Syst. Sig. Process. 19, 1245–1259 (2005)

    Google Scholar 

  9. Urbanek, J., Barszcz, T., Zimroz, R., Antoni, J.: Application of averaged instantaneous power spectrum for diagnostics of machinery operating under non-stationary operational conditions. Measurement 45, 1782–1791 (2012)

    Article  Google Scholar 

  10. Urbanek, J., Barszcz, T., Sawalhi, N., Randall, R.B.: Comparison of amplitude based and phase based methods for speed tracking in application to wind turbines. Metrol. Measur. Syst. XVIII(2) (2011)

    Google Scholar 

  11. Gellermann, T.: Requirements for condition monitoring systems for wind turbines. AZT Expertentage, 10-11.11.2003, Allianz (2003)

    Google Scholar 

  12. Antoni, J.: Cyclic spectral analysis of rolling-element bearing signals: facts and fictions. Sound Vib 304, 497–529 (2007)

    Article  Google Scholar 

  13. Gardner, W.A., Spooner, C.M.: Cyclic spectral analysis for signal detection and modulation recognition. In: Proceedings—IEEE Military Communications Conference, vol. 2, pp. 419–424 (1988)

    Google Scholar 

  14. Makowski, R., Zimroz, R.: Adaptive bearings vibration modeling for diagnosis. Lect. Notes Artif. Intell. 943, 248–259 (2011)

    MathSciNet  Google Scholar 

  15. Randall, R.B., Antoni, J.: Rolling element bearing diagnostics—a tutorial. Mech. Syst. Sig. Process. 25(2), 485–520 (2011)

    Article  Google Scholar 

  16. Antoni, J., Bonnardot, F., Raad, A., El Badaoui, M.: Cyclostationary modelling of rotating machine vibration signals. Mech. Syst. Sig. Process. 18(6), 1285–1314 (2004)

    Article  Google Scholar 

  17. Taher, F., Fakher, C., Mohamed, H.: Numerical and experimental analysis of a gear system with teeth defects. Int. J. Adv. Manuf. Technol. 71, 809–816 (2005)

    Google Scholar 

  18. D’ Elia, G., Delvecchio, S., Cocconcelli, M., Dalpiaz, G.L: Combining blind separation and cyclostationarity techniques for monitoring distributed wear in gearbox rolling bearings. In: Proc. of surveillance, Compiegne, France (2011)

    Google Scholar 

  19. Urbanek, J., Barszcz, T., Antoni, J.: Time–frequency approach to extraction of selected second-order cyclostationary vibration components for varying operational conditions. Measurement 46, 1454–1463 (2013)

    Article  Google Scholar 

  20. Bonnardot, F., Randall, R.B., Guillet, F.: Extraction of second-order cyclostationary sources application to vibration analysis. Mech. Syst. Sig. Process. 19(6), 1230–1244 (2005)

    Article  Google Scholar 

  21. Technical document, group turbo-alternator GZ1164, Department maintenance FERTIAL

    Google Scholar 

  22. Brüel & Kjær vibro: Analyse des vibrations maintenance conditionnelle des machines tournantes. Brüel & Kjær vibro copyright 0906 v.1-B site www.bkvibro.com (2005)

  23. Roger, B., Antoni, J.: A subspace methode for the blind extraction of a cyclostationary source: Application to rolling element bearing diagnostics. Mech. Syst. Sig. Process. 19, 1245–1259 (2005)

    Article  Google Scholar 

  24. Urbanek, J., Barszcz, T., Zimroz, R., Antoni, J.: Integrated modulation intensity distribution as a practical tool for condition monitoring. Appl. Acoust. 77, 184–194 (2014)

    Article  Google Scholar 

  25. Presentation of the standard ISO 2372, (1974) International standard ISO 10816 (1995) replaces the standard ISO 2372

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tarek Kebabsa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Kebabsa, T., Ouelaa, N., Antoni, J., Djamaa, M.C., Khettabi, R., Djebala, A. (2017). Fault Diagnosis Through the Application of Cyclostationarity to Signals Measured. In: Boukharouba, T., Pluvinage, G., Azouaoui, K. (eds) Applied Mechanics, Behavior of Materials, and Engineering Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-41468-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41468-3_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41467-6

  • Online ISBN: 978-3-319-41468-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics