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Analysis of gear rattle by means of a wavelet-based signal processing procedure

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Abstract

In the paper a wavelet-based signals processing technique for the experimental detection of the gear rattle produced by the teeth impacts in lightly loaded gears is proposed.

The Discrete Wavelet Transform is used to decompose the signal of the angular relative motion of an helical gear pair, and the wavelet decomposition details are adopted to analyze the dynamic behavior under rattle condition. In particular the procedure permits to evaluate the quality of the impacts between the teeth, discriminating between the two different sides of teeth contacts when there is a double-sided rattle condition. This technique enables, moreover, to define new indices for metrics of gear rattle especially useful in order to conduct comparisons for different operative conditions.

Some examples of application of the proposed technique are reported in the paper adopting experimental signals acquired by two high resolution incremental encoders on a specific gear pair test rig. The experimental investigations regard comparative analyses with respect to the speed fluctuations amplitude, the rattle frequency and the lubrication regime.

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References

  1. Wang Y, Manoj R, Zhao WJ (2001) Gear rattle modeling and analysis for automotive manual transmissions. Proc Inst Mech Eng, Part D, J Automob Eng 215:241–258

    Article  Google Scholar 

  2. Singh R, Xie H, Comparin RJ (1989) Analysis of automotive neutral gear rattle. J Sound Vib 131(2):177–196

    Article  ADS  Google Scholar 

  3. Dogan SN, Ryborz J, Bertsche B (2006) Design of low-noise manual automotive transmissions. Proc Inst Mech Eng, Proc Part K, J Multi-Body Dyn 220:79–95

    Google Scholar 

  4. Rocca E, Russo R (2011) Theoretical and experimental investigation into the influence of the periodic backlash fluctuations on the gear rattle. J Sound Vib 330:4738–4752

    Article  ADS  Google Scholar 

  5. Brancati R, Rocca E, Russo R (2007) An analysis of the automotive driveline dynamic behaviour focusing on the influence of the oil squeeze effect on the idle rattle phenomenon. J Sound Vib 303(3–5):858–872

    Article  ADS  Google Scholar 

  6. Sbarbati F, Grasso C, Martorelli M, Liccardo P, Tosato L, Uberti M, Malusardi M (2004) Gear rattler optimisation. In: FISITA 2004, World automotive congress, Barcelona, Spain, pp 23–27

  7. Smith JD (1987) Gear transmission error accuracy with small rotary encoders. Proc Inst Mech Eng, Part C, J Mech Eng Sci 201:133–135

    Article  Google Scholar 

  8. Russo R, Brancati R, Rocca E (2009) Experimental investigations about the influence of oil lubricant between teeth on the gear rattle phenomenon. J Sound Vib 321:647–661

    Article  ADS  Google Scholar 

  9. Staszewski WJ, Tomlinson GR (1994) Application of the wavelet transform to fault detection in a spur gear. Mech Syst Signal Process 8(3):289–307

    Article  ADS  Google Scholar 

  10. Wang WJ, McFadden PD (1996) Application of wavelets to gearbox vibration signals for fault detection. J Sound Vib 192(5):927–939

    Article  ADS  Google Scholar 

  11. Boulahbal D, Farid Golnaraghi M, Ismail F (1999) Amplitude and phase wavelet maps for the detection of cracks in geared systems. Mech Syst Signal Process 13(3):423–436

    Article  ADS  Google Scholar 

  12. Lin J, Zuo MJ (2003) Gearbox fault diagnosis using adaptive wavelet filter. Mech Syst Signal Process 17(6):1259–1269

    Article  ADS  Google Scholar 

  13. Djebala A, Ouelaa N, Benchaabane C, Laefer D (2012) Application of the wavelet multi-resolution analysis and Hilbert transform for the prediction of gear tooth defects. Meccanica 47(7):1601–1612

    Article  Google Scholar 

  14. Rocca E, Russo R, Savino S (2010) On the recognition of anomalies in gears by means of the discrete wavelet transform. In: Proceedings of the 12th international mini conference on vehicle system dynamics, identification and anomalies, VSDIA 2010, Budapest

  15. Bosi A (2007) A wavelet-based methodology for monitoring thermoelastic structures. Meccanica 42:477–485

    Article  MATH  Google Scholar 

  16. Djebala A, Ouelaa N, Hamzaoui N (2008) Detection of rolling bearing defects using discrete wavelet analysis. Meccanica 43:339–348

    Article  MATH  Google Scholar 

  17. Wang WJ (2001) Wavelets for detecting mechanical faults with high sensitivity. Mech Syst Signal Process 15:685–696

    Article  ADS  Google Scholar 

  18. Dalpiaz G, Rivola A, Rubini R (2000) Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears. Mech Syst Signal Process 14(3):387–412

    Article  ADS  Google Scholar 

  19. Crowther AR, Janello C, Singh R (2007) Quantification of clearance-induced impulsive sources in a torsional system. J Sound Vib 307:428–451

    Article  ADS  Google Scholar 

  20. Mallat S (1999) A wavelet tour of signal processing. Academic Press, San Diego

    MATH  Google Scholar 

  21. Meyer Y (1989) In: Combes JM et al. (eds) Wavelets. Springer, Berlin

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanics and Energetics, University “Federico II”, via Claudio 21, 80125, Naples, Italy

    Renato Brancati, Ernesto Rocca, Sergio Savino & Flavio Farroni

Authors
  1. Renato Brancati
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  2. Ernesto Rocca
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  3. Sergio Savino
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  4. Flavio Farroni
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Correspondence to Ernesto Rocca.

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Brancati, R., Rocca, E., Savino, S. et al. Analysis of gear rattle by means of a wavelet-based signal processing procedure. Meccanica 48, 1399–1413 (2013). https://doi.org/10.1007/s11012-012-9674-7

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  • DOI: https://doi.org/10.1007/s11012-012-9674-7

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