Title: Value of autocorrelation analysis in vehicle gearbox fault diagnosis

Authors: Mohamed El Morsy; Gabriela Achtenová

Addresses: Czech Technical University, Prague, Czech Republic; Faculty of Engineering, Helwan University, Cairo, Egypt ' Czech Technical University, Prague, Czech Republic

Abstract: This article presents value of autocorrelation analysis in vehicle gearbox fault diagnosis. Autocorrelation algorithm is a mathematical tool for finding repetitive patterns, such as finding the presence of a periodic signal which has been buried under noise or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. The paper intends to apply the autocorrelation analysis for detection of an artificial pitting defect in vehicle gearbox at different operation conditions. The test stand is equipped with three dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometers introduce the load on the flanges of output joint shafts. The pitting defect is manufactured on the one tooth side of the fifth speed pinion on the output shaft. The procedures are illustrated with the experimental vibration data of real vehicle gearbox. The results show the effectiveness of autocorrelation analysis for detection and diagnosis of the gear condition under different operating conditions.

Keywords: gear fault diagnosis; gear pitting; vehicle gearboxes; vibration measurement; vehicle vibration; autocorrelation analysis; pitting defects; fault detection.

DOI: 10.1504/IJVNV.2015.070029

International Journal of Vehicle Noise and Vibration, 2015 Vol.11 No.2, pp.165 - 184

Received: 02 Jul 2014
Accepted: 04 Apr 2015
Published online: 24 Jun 2015 *

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