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.
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