Modern Vibration Signal Processing Techniques for Vehicle Gearbox Fault Diagnosis

Authors: Mohamed El Morsy, Gabriela Achtenová

Abstract:

This paper presents modern vibration signalprocessing techniques for vehicle gearbox fault diagnosis, via the wavelet analysis and the Squared Envelope (SE) technique. The wavelet analysis is regarded as a powerful tool for the detection of sudden changes in non-stationary signals. The Squared Envelope (SE) technique has been extensively used for rolling bearing diagnostics. In the present work a scheme of using the Squared Envelope technique for early detection of gear tooth pit. The pitting defect is manufactured on the tooth side of a fifth speed gear on the intermediate shaft of a vehicle gearbox. The objective is to supplement the current techniques of gearbox fault diagnosis based on using the raw vibration and ordered signals. The test stand is equipped with three dynamometers; the input dynamometer serves as the internal combustion engine, the output dynamometers introduce the load on the flanges of output joint shafts. The gearbox used for experimental measurements is the type most commonly used in modern small to mid-sized passenger cars with transversely mounted powertrain and front wheel drive; a five-speed gearbox with final drive gear and front wheel differential. The results show that the approaches methods are effective for detecting and diagnosing localized gear faults in early stage under different operation conditions, and are more sensitive and robust than current gear diagnostic techniques.

Keywords: Wavelet analysis, Squared Envelope, gear faults.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096077

References:

[1] W. Wang, "An Investigation of the Load Effect on the Detectability of Gear Fault Diagnostic Techniques", to be submitted to the International Journal of COMADEN (invited paper).
[2] W. Wang, "Early Detection of Gear Tooth Crack Using Resonance Demodulation Technique", to be submitted to the Journal of Mechanical System and Signal Processing.
[3] Wenyi Wang and Albert K. Wong, "Some New Signal Processing Approaches For Gear Fault Diagnosis", Fifth International Symposium on Signal Processing and its Applications, ISSPA '99, Brisbane, Australia, 22-25 August, 1999 Organized by the Signal Processing Research Centre, QUT, Brisbane, Australia.
[4] Miller, Irwin, and Freund, John E., Probability and Statistics for Engineers 3rd Edition, Prentice-Hall, Inc., New Jersey, 1985, p. 74.
[5] Lin, J. and Zuo, M. J. "Gearbox fault diagnosis using adaptive wavelet filter, Mechanical Systems and Signal Processing 17(6), 1259-1259, 2003.
[6] Shensa, M. J. "The discrete wavelet transform: wedding the atrous and Mallat Algorithms, IEEE Transaction on Signal Processing 40, 2464- 2482, 1996.
[7] Mohamed S. El Morsy, Shawki A. Abouel-seoud and Eid S. Dyab ''Robust Prognostics Concept for Gearbox with Artificially Induced Gear Crack Utilizing Acoustic Emission'' Energy and Environment Research Vol. 1, No. 1; December 2011.