scholarly journals Gear Fault Detection Using Vibration Analysis and Continuous Wavelet Transform

2014 ◽  
Vol 5 ◽  
pp. 1846-1852 ◽  
Author(s):  
Kiran Vernekar ◽  
Hemantha Kumar ◽  
K.V. Gangadharan
Keyword(s):  
Wavelet Transform ◽  
Fault Detection ◽  
Continuous Wavelet Transform ◽  
Vibration Analysis ◽  
Continuous Wavelet ◽  
Gear Fault

Gear Fault Diagnosis Based on Continuous Wavelet Spectrum Slice

2014 ◽  
Vol 602-605 ◽  
pp. 2403-2406
Author(s):  
Meng Huang ◽  
Shi Qiu ◽  
Xiao Li Yin ◽  
Hua Yuan Huang ◽  
Jun Cao ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Mechanical Characteristics ◽  
Noise Source ◽  
Wavelet Spectrum ◽  
Periodic Signal ◽  
Continuous Wavelet ◽  
Time Frequency ◽  
Gear Fault ◽  
The Common

Analysis the common gear fault signal, using continuous wavelet transform well time-frequency characteristics and failure mechanism gear features, combined with quasi-periodic signal rotary mechanical characteristics of the continuous wavelet transform fault signal. This method can reduce the noise source and other incentives interference, remove the specific needs of the signal to improve signal stripping effect, the use of a certain type of gear failures this step, to get a clear diagnosis results show that this method has proven a strong application space.

Development of Spike Wavelet Analysis and Its Application to Damage Analysis on Gearbox

2006 ◽  
Vol 321-323 ◽  
pp. 1233-1236
Author(s):  
Sang Kwon Lee ◽  
Jang Sun Sim
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
High Frequency ◽  
Low Frequency ◽  
Gear System ◽  
Frequency Resolution ◽  
Linear Scaling ◽  
Continuous Wavelet ◽  
Vibration Signals ◽  
Gear Fault

Impulsive sound and vibration signals in gear system are often associated with their faults. Thus these impulsive sound and vibration signals can be used as indicators in condition monitoring of gear system. The traditional continuous wavelet transform has been used for detection of impulsive signals. However, it is often difficult for the continuous wavelet transform to identify spikes at high frequency and meshing frequencies at low frequency simultaneously since the continuous wavelet transform is to apply the linear scaling (a-dilation) to the mother wavelet. In this paper, the spike wavelet transform is developed to extract these impulsive sound and vibration signals. Since the spike wavelet transform is to apply the non-linear scaling, it has better time resolution at high frequency and frequency resolution at low frequency than that of the continuous wavelet transform respectively. The spike wavelet transform can be, therefore, used to detect fault position clearly without the loss of information for the damage of a gear system. The spike wavelet transform is successfully is applied to detection of the gear fault with tip breakage.

Sign in / Sign up

Export Citation Format

Share Document