Early Detection of Gear Failure by Vibration Analysis

Gear mechanisms are an important element in a variety of mechanical systems, such as industrial machinery and automotive. Health monitoring of rotating machines is important to avoid failure of the system in advance. Principally, this paper consists of two parts: in the first part, a gear dynamic model including localized tooth defect has been developed. The model consists of a spur gear pair, two inertias. The model incorporates the effects of time-varying mesh stiffness and damping, excitation due to gear errors. The results of a dynamic modeling of the gears transmission are calculated by using the Newmark integration scheme. The second part consists of signal processing of simulated and experimental signals using the wavelet transform. It is shown that the kurtosis of the vibration signal is a sensitive indicator of the existence of damage in the gear pair.

[1]  Donald R. Houser,et al.  Mathematical models used in gear dynamics—A review , 1988 .

[2]  Xavier Chiementin,et al.  A comparative experimental study on the use of three denoising methods for bearing defect detection , 2010 .

[3]  Robert G. Parker,et al.  Mesh Stiffness Variation Instabilities in Two-Stage Gear Systems , 2002 .

[4]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[5]  Jing Lin,et al.  Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis , 2000 .

[6]  Robert B. Randall,et al.  A New Method of Modeling Gear Faults , 1982 .

[7]  C. Pachaud,et al.  CREST FACTOR AND KURTOSIS CONTRIBUTIONS TO IDENTIFY DEFECTS INDUCING PERIODICAL IMPULSIVE FORCES , 1997 .

[8]  J. W. Evans,et al.  An Extended Model for Determining Dynamic Loads in Spur Gearing , 1981 .

[9]  Mohamed El Badaoui,et al.  Contribution au Diagnostic Vibratoire des Réducteurs Complexes à Engrenages par l'Analyse Cepstrale , 1999 .

[10]  P. D. McFadden,et al.  Early Detection of Gear Failure by Vibration Analysis--I. Calculation of the Time Frequency Distribution , 1993 .

[11]  Grenier,et al.  4 - Détection de défauts d'engrenages par analyse vibratoire , 1991 .

[12]  Paul Sas,et al.  Fault Diagnosis of Joint Backlash , 1998 .

[13]  Fakher Chaari,et al.  Analytical modelling of spur gear tooth crack and influence on gearmesh stiffness , 2009 .

[14]  D. C. H. Yang,et al.  Hertzian damping, tooth friction and bending elasticity in gear impact dynamics , 1987 .

[15]  R. Cornell.  Compliance and Stress Sensitivity of Spur Gear Teeth , 1981 .

[16]  Fakher Chaari,et al.  Dynamic behaviour modelling of a flexible gear system by the elastic foundation theory in presence of defects , 2010 .

[17]  Liangsheng Qu,et al.  Rotating machinery fault diagnosis using Wigner distribution , 1991 .

[18]  Pragasen Pillay,et al.  A new algorithm for transient motor current signature analysis using wavelets , 2003 .

[19]  DongSik Gu,et al.  Detection of faults in gearboxes using acoustic emission signal , 2011 .

[20]  P. D. McFadden,et al.  A Signal Processing Technique for Detecting Local Defects in a Gear from the Signal Average of the Vibration , 1985 .

[21]  Fulei Chu,et al.  Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography , 2004 .

[22]  H. Henao,et al.  Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation , 2007, 2007 IEEE Industry Applications Annual Meeting.

[23]  Claire Breneur,et al.  Eléments de maintenance préventive de machines tournantes dans le cas de défauts combinés d'engrenages et de roulements , 2002 .

[24]  Anand Parey,et al.  Dynamic modelling of spur gear pair and application of empirical mode decomposition-based statistical analysis for early detection of localized tooth defect , 2006 .

[25]  Messaoud Benidir,et al.  Diagnosis of Gear Systems by Spectral Analysis of Vibration Signals , 2007 .

[26]  J. Dron,et al.  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 , 2004 .

[27]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[28]  Ming J. Zuo,et al.  GEARBOX FAULT DIAGNOSIS USING ADAPTIVE WAVELET FILTER , 2003 .