Title of article :
A wavelet approach to fault diagnosis of a gearbox under varying load conditions
Author/Authors :
Wang، نويسنده , , Xiyang and Makis، نويسنده , , Viliam and Yang، نويسنده , , Ming، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
16
From page :
1570
To page :
1585
Abstract :
Varying load can cause changes in a measured gearbox vibration signal. However, conventional techniques for fault diagnosis are based on the assumption that changes in vibration signal are only caused by deterioration of the gearbox. There is a need to develop a technique to provide accurate state indicator of gearbox under fluctuating load conditions. This paper presents an approach to gear fault diagnosis based on complex Morlet continuous wavelet transform under this condition. Gear motion residual signal, which represents the departure of time synchronously averaged signal from the average tooth-meshing vibration, is analyzed as source data due to its lower sensitiveness to the alternating load condition. A fault growth parameter based on the amplitude of wavelet transform is proposed to evaluate gear fault advancement quantitatively. We found that this parameter is insensitive to varying load and can correctly indicate early gear fault. For a comparison, the advantages and disadvantages of other measures such as kurtosis, mean, variance, form factor and crest factor, both of residual signal and mean amplitude of continuous wavelet transform waveform, are also discussed. The effectiveness of the proposed fault indicator is demonstrated using a full lifetime vibration data history obtained under sinusoidal varying load.
Journal title :
Journal of Sound and Vibration
Serial Year :
2010
Journal title :
Journal of Sound and Vibration
Record number :
1399628
Link To Document :
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