Skip to main content
SpringerLink
Log in

Wind Turbine Generator Bearing Fault Diagnosis Using Amplitude and Phase Demodulation Techniques for Small Speed Variations

  • Conference paper
  • First Online:
Advances in Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO 2014)

Part of the book series: Applied Condition Monitoring ((ACM,volume 4))

Abstract

Vibration analysis of the generator bearing of a large wind turbine using demodulation techniques is discussed in this paper. The purpose of this paper is to show how capable these techniques are for small shaft speed variations. Highest energy band was calculated by wavelet packet transform for amplitude and phase demodulation. Results from the vibration analysis were consistent with a localized outer-race bearing fault. They were then validated by cutting the bearing with water jet machine. A significant localized fault was found on the outer race.

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

Access this chapter

Log in via an institution
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

References

  1. Rabe U, Janser K, Arnold Wt (1996) Vibrations of free and surface-coupled atomic force microscope cantilevers: theory and experiment. Rev Sci Instrum 67(9):3281–3293

    Article  Google Scholar 

  2. Randall R (2012) Vibration based condition monitoring. Wiley, New York

    Google Scholar 

  3. Chui CK (1992) An introduction to wavelets. Academic Press, New York, pp 1–200

    Google Scholar 

  4. Alewine K, Chen W (2010) Wind turbine generator failure modes analysis and occurrence, Windpower 2010, Dallas, Texas, 24–26 May 2010

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the TransAlta Corporation, specially Tracy Duncan, for providing the operational data and the bearings, and the Natural Sciences and Engineering Research Council (NSERC) of Canada for financial support under the Industrial Research Chair and Engage programs.

Author information

Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada

    Ehsan Mollasalehi, Qiao Sun & David Wood

Authors
  1. Ehsan Mollasalehi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qiao Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David Wood
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ehsan Mollasalehi .

Editor information

Editors and Affiliations

  1. National School of Engineers of Sfa, Sfax, Tunisia

    Fakher Chaari

  2. Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology Institute of Mining Engineering, Wroclaw, Poland

    Radoslaw Zimroz

  3. Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław Univ of Technology Inst of Mining Engineering, Wroclaw, Poland

    Walter Bartelmus

  4. Mechanical Engineering Department, National School of Engineers of Sfa, Sfax, Tunisia

    Mohamed Haddar

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Mollasalehi, E., Sun, Q., Wood, D. (2016). Wind Turbine Generator Bearing Fault Diagnosis Using Amplitude and Phase Demodulation Techniques for Small Speed Variations. In: Chaari, F., Zimroz, R., Bartelmus, W., Haddar, M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. CMMNO 2014. Applied Condition Monitoring, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-20463-5_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20463-5_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20462-8

  • Online ISBN: 978-3-319-20463-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation