Studies on Automobile Clutch Release Bearing Characteristics with Acoustic Emission

Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 158)


Automobile clutch release bearings are important automotive driveline components. For the clutch release bearing, early fatigue failure diagnosis is significant, but the early fatigue failure response signal is not obvious, because failure signals are susceptible to noise on the transmission path and to working environment factors such as interference. With an improvement in vehicle design, clutch release bearing fatigue life indicators have increasingly become an important requirement. Contact fatigue is the main failure mode of release rolling bearing components. Acoustic emission techniques in contact fatigue failure detection have unique advantages, which include highly sensitive nondestructive testing methods. In the acoustic emission technique to detect a bearing, signals are collected from multiple sensors. Each signal contains partial fault information, and there is overlap between the signals’ fault information. Therefore, the sensor signals receive simultaneous source information integration is complete fragment rolling bearing fault acoustic emission signal, which is the key issue of accurate fault diagnosis. Release bearing comprises the following components: the outer ring, inner ring, rolling ball, cage. When a failure occurs (such as cracking, pitting), the other components will impact damaged point to produce acoustic emission signal. Release bearings mainly emit an acoustic emission waveform with a Rayleigh wave propagation. Elastic waves emitted from the sound source, and it is through the part surface bearing scattering. Dynamic simulation of rolling bearing failure will contribute to a more in-depth understanding of the characteristics of rolling bearing failure, because monitoring and fault diagnosis of rolling bearings provide a theoretical basis and foundation.


Acoustic Emission Rayleigh Wave Fault Diagnosis Acoustic Emission Signal Rolling Bearing 
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  1. 1.
    D. Guang, L. Wei, Z. Ying, L. Feifei, An acoustic emission method for the in service detection of corrosion in vertical storage tanks [J]. Am. Soc. Nondestr. Test. Mater. Eval. 60(8), 976–978 (2002)Google Scholar
  2. 2.
    D. Mba, R.B.K.N. Rao, Development of acoustic emission technology for condition monitoring and diagnosis of rotating machines; bearings, pumps, gearboxes, engines and rotating structures [J]. Shock Vib. Digest. 38(1), 3–16 (2006)CrossRefGoogle Scholar
  3. 3.
    B. Eftekharnejad, M.R. Carrasco, B. Charnley, D. Mba, The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing [J]. Mech. Syst. Signal Process. 25(1), 266–284 (2011)CrossRefADSGoogle Scholar
  4. 4.
    N. Jamaludin, D. Mba, Monitoring extremely slow rolling element bearings: part I [J]. NDT. E. Int. 35(6), 349–358 (2002)CrossRefGoogle Scholar
  5. 5.
    J. Miettinen, P. Pataniitty, Acoustic emission in monitoring extremely slowly rotating rolling bearing [C]. In: Proceedings of COMADEM’99. Oxford, Coxmoor Publishing Company. 1999. ISBN 1-901892-13-1. pp. 289–297.Google Scholar
  6. 6.
    A.M. Al Ghamd, D. Mba, A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size [J]. Mech. Syst. Signal Process. 20(7), 1537–1571 (2006)CrossRefADSGoogle Scholar
  7. 7.
    N.G. Nikolaou, I.A. Antoniadis, Application of morphological operators as envelope extractors for impulsive type periodic signals [J]. Mech. Syst. Signal Process. 17(6), 1147–1162 (2003)CrossRefADSGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Mechatronics Engineering and AutomationShanghai UniversityShanghaiChina

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