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Condition Monitoring of Rotating Machinery with Acoustic Emission: A British–Australian Collaboration

  • Davide CrivelliEmail author
  • Simon Hutt
  • Alastair Clarke
  • Pietro Borghesani
  • Zhongxiao Peng
  • Robert Randall
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Industries such as transport and energy generation are aiming to create cleaner, lighter, more reliable and safer technology. Condition monitoring of rotating machinery is an established way of reducing maintenance costs and associated downtime. Whereas vibration based condition monitoring has been validated in literature and in industrial applications, acoustic emission (AE) technologies are a relatively new and unexplored solution for machine diagnostics. Being based on the passive recording of ultrasonic stress waves, their frequency range gives direct access to phenomena such as friction in gear teeth sliding, bearing rolling contacts and crack formation and propagation. However, the complexity of AE signals generated in multiple machine components requires a better understanding of their link with tribological phenomena. To further knowledge in this area, a team of researchers from Cardiff University, Queensland University of Technology and University of New South Wales are conducting a joint research activity which includes: (i) the use of a twin-disk test-rig to reproduce controlled rolling-sliding contact conditions typical of gear contacts, (ii) the analysis of AE data using advanced cyclostationary signal processing and (iii) the establishment of a relationship between tribological conditions and AE signal characteristics. This paper outlines this project, discusses its preliminary results and introduces future extensions of this research to key industrial applications.

References

  1. 1.
    Chittenden R, Dowson D, Dunn J, Taylor C (1985) A theoretical analysis of the isothermal elastohydrodynamic lubrication of concentrated contacts I. Proc R Soc Lond 397(A):245–269Google Scholar
  2. 2.
    Choudhury A, Tandon N (2000) Application of acoustic emission technique for the detection of defects in rolling element bearings. Tribol Int 33:39–45CrossRefGoogle Scholar
  3. 3.
    Clarke A, Weeks IJJ, Evans HP, Snidle RW (2016) An investigation into mixed lubrication conditions using electrical contact resistance techniques. Tribol Int 93:709–716.  https://doi.org/10.1016/j.triboint.2014.10.010CrossRefGoogle Scholar
  4. 4.
    Clarke A, Weeks IJJ, Snidle RW, Evans HP (2016) Running-in and micropitting behaviour of steel surfaces under mixed lubrication conditions. Tribol Int 101:59–68.  https://doi.org/10.1016/j.triboint.2016.03.007CrossRefGoogle Scholar
  5. 5.
    Cockerill A, Clarke A, Pullin R, Bradshaw T, Cole P, Holford K (2016) Determination of rolling element bearing condition via acoustic emission. Proc Inst Mech Eng Part J: J Eng Tribol 230(11):1377–1388.  https://doi.org/10.1177/1350650116638612CrossRefGoogle Scholar
  6. 6.
    Couturier J, Mba D (2008) Operational bearing parameters and acoustic emission generation. J Vibr Acoust 130:24502.  https://doi.org/10.1115/1.2776339CrossRefGoogle Scholar
  7. 7.
    Crivelli D, McCrory J, Miccoli S, Pullin R, Clarke A (2017) Gear tooth root fatigue test monitoring with continuous acoustic emission: advanced signal processing techniques for detection of incipient failure. Structural Health Monit.  https://doi.org/10.1177/1475921717700567CrossRefGoogle Scholar
  8. 8.
    Decker HJ (2002) NASA-TM2002-211491: Gear crack detection using tooth analysisGoogle Scholar
  9. 9.
    Decker HJ (2002) NASA-TM2002-211492: Crack detection of aerospace quality gearsGoogle Scholar
  10. 10.
    Guangteng G, Spikes HA (1996) An experimental study of film thickness in the mixed lubrication regime. In: Dowson D (ed) Elastohydrodynamics 96: fundamentals and applications in lubrication and traction. Elsevier, Amsterdam, pp 159–166.  https://doi.org/10.1016/s0167-8922(08)70445-0CrossRefGoogle Scholar
  11. 11.
    Loutas TH, Sotiriades G, Kalaitzoglou I, Kostopoulos V (2009) Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements. Appl Acoust 70(9):1148–1159.  https://doi.org/10.1016/j.apacoust.2009.04.007CrossRefGoogle Scholar
  12. 12.
    Raja Hamzah RI, Mba D (2007) Acoustic emission and specific film thickness for operating spur gears. J Tribol 129(4):860–867.  https://doi.org/10.1115/1.2769732CrossRefGoogle Scholar
  13. 13.
    Sebastian C, Patterson E, Ostberg D (2011) Comparison of numerical and experimental strain measurements of a composite panel using image decomposition. Appl Mech Mater 70:63–68.  https://doi.org/10.4028/www.scientific.net/AMM.70.63CrossRefGoogle Scholar
  14. 14.
    Sharif K, Evans H, Snidle R (2012) Modelling of elastohydrodynamic lubrication and fatigue of rough surfaces: the effect of lambda ratio. Proc Inst Mech Engineers Part J: J Eng Tribol 226(12):1039–1050.  https://doi.org/10.1177/1350650112458220CrossRefGoogle Scholar
  15. 15.
    Spinato F, Tavner PJ, van Bussel GJW, Koutoulakos E (2009) Reliability of wind turbine subassemblies. IET Renew Power Gener 3(4):387–401.  https://doi.org/10.1049/iet-rpg:20080060
  16. 16.
    Tan CK, Mba D (2005) Identification of the acoustic emission source during a comparative study on diagnosis of a spur gearbox. Tribol Int 38(5):469–480.  https://doi.org/10.1016/j.triboint.2004.10.007CrossRefGoogle Scholar
  17. 17.
    Tavner PJ, Xiang J, Spinato F (2007) Reliability analysis for wind turbines. Wind Energy 10(1):1–18CrossRefGoogle Scholar
  18. 18.
    Vicuña CM (2014) Effects of operating conditions on the Acoustic Emissions (AE) from planetary gearboxes. Appl Acoust 77:150–158.  https://doi.org/10.1016/j.apacoust.2013.04.017CrossRefGoogle Scholar
  19. 19.
    Williams T, Ribadeneira X, Billington S, Kurfess T (2001) Rolling element bearing diagnostics in run-to-failure lifetime testing. Mech Syst Signal Process 15(5):979–993.  https://doi.org/10.1006/mssp.2001.1418CrossRefGoogle Scholar
  20. 20.
    Wong AK (2001) Vibration-based helicopter gearbox health monitoring—an overview of the research program in DSTO. In: Proceedings of defence science and technology organisation international conference on health and usage monitoring, pp 1–12Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Davide Crivelli
    • 1
    Email author
  • Simon Hutt
    • 1
  • Alastair Clarke
    • 1
  • Pietro Borghesani
    • 2
  • Zhongxiao Peng
    • 3
  • Robert Randall
    • 3
  1. 1.School of Engineering, Cardiff UniversityCardiffUK
  2. 2.Queensland University of TechnologyBrisbaneAustralia
  3. 3.University of New South WalesSydneyAustralia

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