Gears are very reliable parts of wind turbines and normally contribute for more than 5 years without failure when operated under fluctuating speed conditions. This case study presents the effectiveness of gear fault diagnosis techniques to highlight cracked tooth, chipped tooth and missing tooth gear under fluctuating speed conditions. Various measuring parameters such as overall vibration acceleration and envelope-detected acceleration were calculated for vibration signal, and sound intensity and sound pressure were calculated for acoustic signal. A statistical indicator kurtosis was also calculated for both vibration signal and acoustic signal. These measuring parameters were then compared with showing the fault detection capability of techniques employed under fluctuating speed and also under different loading conditions. The detection of faults by kurtosis of acoustic signal is found most efficient. For low load conditions, envelope-detected acceleration of vibration signal can also support fault diagnosis under fluctuating speed conditions.

References

1. 1)
  - 17. Feng, Z., Zuo, M.J.: ‘Vibration signal models for fault diagnosis of planetary gearboxes’, J. Sound Vib., 2012, 331, pp. 4919–4939.
2. 2)
  - 11. Sharma, V., Parey, A.: ‘A review of gear fault diagnosis using various condition indicators’, Procedia Eng., 2016, 144, pp. 253–263.
3. 3)
  - 9. Tandon, N, Choudhury, A.: ‘A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings’, Tribol. Int., 1999, 32, pp. 469–480.
4. 4)
  - 5. Jena, D.P., Panigrahi, S.N.: ‘Automatic gear and bearing fault localization using vibration and acoustic signals’, Appl. Acoust., 2015, 98, pp. 20–33.
5. 5)
  - 7. Baydar, N., Ball, A.: ‘Detection of gear failures via vibration and acoustic signal using wavelet transform’, Mech. Syst. Signal Process., 2003, 17, (4), pp. 787–804.
6. 6)
  - 20. Inalpolat, M., Kahraman, A.: ‘A theoretical and experimental investigation of modulation sidebands of planetary gear sets’, J. Sound Vib., 2009, 323, pp. 677–696.
7. 7)
  - 12. Combet, F., Gelman, L.: ‘An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor’, Mech. Syst. Signal Process., 2007, 21, pp. 2590–2606.
8. 8)
  - 10. Bonnardot, F., Badaoui, M.El., Randall, R.B., et al: ‘Use of the acceleration signal of the gearbox in order to perform angular resampling (with limited speed fluctuation)’, Mech. Syst. Signal Process., 2005, 19, pp. 766–785.
9. 9)
  - 8. Tandon, N., Mata, S.: ‘Detection of defects in gears by acoustic emission measurements’, J. Acoust. Emiss., 1999, 17, (1-2), pp. 23–27.
10. 10)
  - 18. McFadden, P.D., Smith, J.D.: ‘An explanation for the asymmetry of the modulation sidebands about the tooth meshing frequency in epicyclic gear vibration’, Proc. Inst. Mech. Eng., 1985, 199, pp. 65–70.
11. 11)
  - 1. Parey, A., Jain, N.K., Koria, S.C.: ‘Failure analysis of air cooled condenser gearbox’, Case Stud. Eng. Failure Anal., 2014, 2, (2), pp. 150–156.
12. 12)
  - 21. Tan, C.K., Irving, P., Mba, D.: ‘A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears’, Mech. Syst. Signal Process., 2007, 21, (1), pp. 208–233.
13. 13)
  - 13. Zhao, M., Lin, J., Wang, X., et al: ‘A tacho-less order tracking technique for large speed variations’, Mech. Syst. Signal Process., 2013, 40, pp. 76–90.
14. 14)
  - 14. Li, C., Liang, M.: ‘Time–frequency signal analysis for gear box fault diagnosis using a generalized synchrosqueezing transform’, Mech. Syst. Signal Process., 2013, 26, pp. 205–217.
15. 15)
  - 6. Baydar, N., Ball, A.: ‘A comparative study of acoustic and vibration signals in detection of gear failures using Wigner–Ville distribution’, Mech. Syst. Signal Process., 2001, 15, (6), pp. 1091–1107.
16. 16)
  - 16. Tchakoua, P., Wamkeue, R., Ouhrouche, M., et al: ‘Wind turbine condition monitoring: state-of-the-art review, new trends, and future challenges’, Energies, 2014, 7, (4), pp. 2595–2630, doi: 10.3390/en7042595.
17. 17)
  - 3. Samuel, P.D., Pines, D.J.: ‘A review of vibration-based techniques for helicopter transmission diagnostics’, J. Sound Vib., 2005, 282, pp. 475–508.
18. 18)
  - 4. Loutas, T.H., Sotiriades, G., Kalaitzoglou, I., et al: ‘Condition monitoring of a single stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements’, Appl. Acoust., 2009, 70, pp. 1148–1159.
19. 19)
  - 19. Mosher, M.: ‘Understanding vibration spectra of planetary gear systems for fault detection’. Proc. ASME Design Engineering Technical Conf., 2003, pp. 1–8.
20. 20)
  - 15. Amirat, Y., Choqueuse, V., Benbouzid, M.: ‘Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation’. IEEE Int. Energy Conf. and Exhibition, Manama, 2010, pp. 310–315.
21. 21)
  - 2. Parey, A., Badaoui, M.E., Guillet, F., et al: ‘Dynamic modelling of spur gear pair and application of empirical mode decomposition-based statistical analysis for early detection of localized tooth defect’, J. Sound Vib., 2006, 294, pp. 547–561.

Case study on the effectiveness of gear fault diagnosis technique for gear tooth defects under fluctuating speed

References

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