Value of autocorrelation analysis in vehicle gearbox fault diagnosis Online publication date: Wed, 24-Jun-2015
by Mohamed El Morsy; Gabriela Achtenová
International Journal of Vehicle Noise and Vibration (IJVNV), Vol. 11, No. 2, 2015
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Noise and Vibration (IJVNV):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com