Paper Title:
Gearbox Fault Diagnosis Using Vibration Signal with Wavelet De-Noising
  Abstract

This paper dealt with the gearbox fault diagnosis with vibration signal analysis. The vibration signals from experiment contained a lot of noises which result from motor, gears, bears and box, and were collected through accelerate sensor, data collector and computer. The wavelet de-noising stratification was used to de-noise the vibration signals before the frequency-domain analysis was done. The effects of the simulation signal de-noising was contrasted, and the noise cancellation the power spectrum estimation was carried out. The experimental and analytical results show that the different features are indicated with vibration signal of the normal gearbox and the signal with bolts loosened of the gearbox. The gearbox fault with bolts loosened can be diagnosed by extracting the time-domain fault features of vibration signals.

  Info
Periodical
Edited by
Zeyong Yin, Chengyu Jiang, Datong Qin, Peixin Qiao and Geng Liu
Pages
735-738
DOI
10.4028/www.scientific.net/AMM.86.735
Citation
Z. F. Dong, H. Cheng, H. J. Yang, W. Fu, J. W. Chen, Z. Y. Shi, D. L. Zhao, "Gearbox Fault Diagnosis Using Vibration Signal with Wavelet De-Noising", Applied Mechanics and Materials, Vol. 86, pp. 735-738, 2011
Online since
August 2011
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Price
$32.00
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