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Vol. 133, Issue 10, October 2011, pp.83-94

 

Bullet

 

A Novel Method for Gearbox Fault Detection Based on Biorthogonal B-spline Wavelet

 

a,b,c Guangbin ZHANG and b Yunjian GE

a Department of Automation, University of Science & Technology of China, Hefei, 230026, China

b Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, China

c Department of Computer Engineering, Anhui University of Architecture, Hefei, 230601, China

Tel.: 086-137-21102390, fax: 086-551-3828171

E-mail: zgb@mail.ustc.edu.cn, yjge@iim.ac.cn

 

 

Received: 30 August 2011   /Accepted: 25 October 2011   /Published: 31 October 2011

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Abstract: Localized defects of gearbox tend to result in periodic impulses in the vibration signal, which contain important information for system dynamics analysis. So parameter identification of impulse provides an effective approach for gearbox fault diagnosis. Biorthogonal B-spline wavelet has the properties of compact support, high vanishing moment and symmetry, which are suitable to signal de-noising, fast calculation, and reconstruction. Thus, a novel time frequency distribution method is present for gear fault diagnosis by biorthogonal B-spline wavelet. Simulation study concerning singularity signal shows that this wavelet is effective in identifying the fault feature with coefficients map and coefficients line. Furthermore, an integrated approach consisting of wavelet decomposition, Hilbert transform and power spectrum density is used in applications. The results indicate that this method can extract the gearbox fault characteristics and diagnose the fault patterns effectively.

 

Keywords: Fault diagnosis, Biorthogonal B-spline wavelet, Gearbox, Coefficients line, Signal processing

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