Spur Gear Crack Propagation Assessment Using Model-Based Analysis and Simulation

Article Preview

Abstract:

Model-based gear dynamic analysis and simulation has been a promising way for developing e®ective gearbox vibration monitoring approaches. In this paper, based on the dynamic model of a one-stage gearbox with spur gears and one tooth crack, we investigate statistical indicators and the discrete wavelet transform (DWT) technique to identify e®ective and sensitive health indicators for re°ecting the crack propagation level. Our results suggest that the root mean square (RMS) indicator is a good statistical indicator to re°ect the crack propagation in the early stage; DWT can improve the sensitivity of the RMS indicator and the RMS indicator becomes more sensitive with the increase of the DWT level.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 413-414)

Pages:

299-304

Citation:

Online since:

June 2009

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2009 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] W. Bartelmus, Mathematical modelling and computer simulations as an aid to gearbox diagnostics, Mechanical Systems and Signal Processing 15 (5) (2001), pp.855-871.

DOI: 10.1006/mssp.2001.1411

Google Scholar

[2] I. Howard, S.X. Jia, J.D. Wang, The dynamic modelling of a spur gear in mesh including friction and a crack, Mechanical Systems and Signal Processing 15 (5) (2001), pp.831-853.

DOI: 10.1006/mssp.2001.1414

Google Scholar

[3] A.K.S. Jardine, D.M. Lin, D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing 20 (7) (2006), pp.1483-1510.

DOI: 10.1016/j.ymssp.2005.09.012

Google Scholar

[4] S.X. Jia, I. Howard, Comparison of localised spalling and crack damage from dynamic modelling of spur gear vibrations, Mechanical Systems and Signal Processing 20 (2) (2006), pp.332-349.

DOI: 10.1016/j.ymssp.2005.02.009

Google Scholar

[5] H.N. Ozguven, D.R. Houser, Mathematical-Models Used in Gear Dynamics - A Review, Journal of Sound and Vibration 121 (3) (1988), pp.383-411.

DOI: 10.1016/s0022-460x(88)80365-1

Google Scholar

[6] P.D. Samuel, D.J. Pines, A review of vibration-based techniques for helicopter transmission diagnostics, Journal of Sound and Vibration 282 (1-2) (2005), pp.475-508.

DOI: 10.1016/j.jsv.2004.02.058

Google Scholar

[7] W. Staszewski, C. Boller, G.R. Tomlinson, Health Monitoring of Aerospace Structures: Smart Sensor Technologies and Signal Processing, John Wiley & Sons (2004).

DOI: 10.1002/0470092866

Google Scholar

[8] X.H. Tian, M.J. Zuo and K.R. Fyfe, Analysis of the vibration response of a gearbox with gear tooth faults, Proceedings of IMECE04, 2004 ASME International Mechanical Engineering Congress and Exposition, November 13-20, 2004, Anaheim, CA, USA.

DOI: 10.1115/imece2004-59224

Google Scholar

[9] D.C.H. Yang and J.Y. Lin, Hertzian damping, tooth friction and bending elasticity in gear impact dynamics, Journal of Mechanisms, Transmissions, and Automation in Design 109 (2) (1987), pp.189-196.

DOI: 10.1115/1.3267437

Google Scholar

[10] P. Velex, M. Ajmi, Dynamic tooth loads and quasi-static transmission errors in helical gearsapproximate dynamic factor formulae, Mechanism and Machine Theory 42 (2007), pp.1512-1526.

DOI: 10.1016/j.mechmachtheory.2006.12.009

Google Scholar

[11] S. Wu, M.J. Zuo, and A. Parey, Simulation of spur gear dynamics and estimation of fault growth, Journal of Sound and Vibration (2008), doi: 10. 1016/j. jsv. 2008. 03. 038.

DOI: 10.1016/j.jsv.2008.03.038

Google Scholar