Title :
Application of Daubechies 44 in machine fault diagnostics
Author :
Rafiee, J. ; Rafiee, M.A. ; Prause, N. ; Tse, P.W.
Author_Institution :
Dept. of Mech., Rensselaer Polytech. Inst., Troy, NY
Abstract :
This research focuses on the application of Daubechies 44 (db44) for gearbox vibration signals. Vibration signals of a sophisticated motorcycle gearbox system were collected in four conditions: Normal gearbox, slight-worn gear, medium-worn gear and broken-tooth gear. To monitor the gearbox failures, new features were introduced based on four statistical features: standard deviation, variance, kurtosis, and fourth central moment of continuous wavelet coefficients of synchronized vibration signals (CWC-SVS). Variance of CWC-SVS was selected as the pattern for finding the most similar mother wavelet function across gear vibrations. Among 324 mother wavelet candidates, results show that Daubechies 44 (db44) has a distinctive pattern across gearbox signals. In sum, drawbacks of mother wavelet selection in gearbox diagnostics have been developed in this research.
Keywords :
condition monitoring; failure analysis; fault diagnosis; gears; motorcycles; signal processing; statistical analysis; vibrations; wavelet transforms; Daubechies 44 application; broken-tooth gear; condition monitoring; continuous wavelet coefficient-of-synchronized vibration signal; machine fault diagnostics; medium-worn gear; mother wavelet function; motorcycle gearbox vibration signal; normal gearbox; slight-worn gear; statistical feature; Condition monitoring; Fault diagnosis; Gears; Motorcycles; Signal analysis; Signal processing algorithms; Vibrations; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Condition Monitoring; Daubechies 44 (db44); Gearbox; Mother Wavelet; Signal Processing; Vibration;
Conference_Titel :
Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-3313-1
Electronic_ISBN :
978-1-4244-3314-8
DOI :
10.1109/IC4.2009.4909247