Abstract
There are different statistical fault detection indicators applied in the time domain to detect crack propagation in the gear tooth root. ‘TALAF’ and ‘THIKAT’ are two newly presented indicators which have been designed and recommended to improve the performance of ball bearing fault detection after a certain stage of degradation. This chapter studies the performance of these two new indicators, together with the RMS, kurtosis and crest factor indicators, in the context of detecting faults in the gear tooth root. The chapter also presents an investigation of the performance of these indicators in the presence of three levels of random background noise. Gear mesh stiffness calculations and dynamic simulation have been performed using Matlab™ to obtain the residual gear centre point displacement signals for different crack propagation cases. The simulations indicate that the RMS and kurtosis perform well for crack depths up to approximately 50 % of the tooth root thickness. Kurtosis and THIKAT show the most sensitive performance with an increasing noise level.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Parey A, Tandon N (2010) Fault detection of spur gears using vibration monitoring, lambert. LAP LAMBERT Academic Publishing, Saarbrucken, Germany
Dron JP, Bolaers F, Rasolofondraibe I (2004) Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings. J Sound Vib 270:61–73
Wu S, Zuo M, Parey A (2008) Simulation of spur gear dynamics and estimation of fault growth. J Sound Vib 317(3–5):608–624
Chen Z, Shao Y (2011) Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth. Eng Fail Anal 18(8):2149–2164
Bolaers F, Cousinard O, Estocq P, Chiementin X, Dron JP (2011) Comparison of denoising methods for the early detection of fatigue bearing defects by vibratory analysis. J Vib Control 17:1983–1993
Sassi S, Badri B, Thomas M (2008) Tracking surface degradation of ball bearings by means of new time domain scalar indicators. Int J COMADEM 11:36–45
Chaari F, Fakhfakh T, Haddar M (2009) Analytical modelling of spur gear tooth crack and influence on gearmesh stiffness. Eur J Mech A Solid 28(3):461–468
He S, Cho S, Singh R (2008) Prediction of dynamic friction forces in spur gears using alternate sliding friction formulations. J Sound Vib 309(3–5):843–851
He S, Gunda R, Singh R (2007) Effect of sliding friction on the dynamics of spur gear pair with realistic time-varying stiffness. J Sound Vib 301(3–5):927–949
Mohammed OD, Rantatalo M, Aidanpaa J, Kumar U Submitted, Vibration signal analysis for gear fault diagnosis with various crack propagation scenarios. Accepted in Mech Syst Sig Proces
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mohammed, O.D., Rantatalo, M. (2014). Performance of Time Domain Indicators for Gear Tooth Root Crack Detection and Their Noise-Sensitivity. In: Dalpiaz, G., et al. Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39348-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-39348-8_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39347-1
Online ISBN: 978-3-642-39348-8
eBook Packages: EngineeringEngineering (R0)