Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Identification and diagnosis of damage in automotive gearbox
Submission Author:
Gabriel de Sant' Anna Vitor Barbieri , PR
Co-Authors:
Nilson Barbieri, Bruno Martins, Lucas de Sant’Anna Vitor Barbieri, Gabriel de Sant' Anna Vitor Barbieri
Presenter: Gabriel de Sant' Anna Vitor Barbieri
doi://10.26678/ABCM.COBEM2017.COB17-2348
Abstract
In more complex systems, as in automotive gearbox systems, a close data processing is required because there are many moving parts (gears, bearings, axes, etc.), and thus, there are many possible sources of damage and noise generation. In this work was used a specialist procedure for detection and identification of damages in automotive gearboxes. The detection methods used are wavelet transform, bispectrum and mathematical morphology, associating concepts of energy and entropy. The gearboxes were produced on a production line for heavy vehicles. Ten gearboxes were approved by a subjective method (human hearing) serving as reference and three boxes with different induced damages (two with damage to the bearing running track and another with gear tooth damage) were used in the analyzes. The experimental data were obtained using accelerometers placed at different positions in the samples. The experimental data were treated and analyzed in the Matlab environment. The results obtained, using the different detection methods, enabled the identification of the presence of the damage and the damaged component.
Keywords
automotive gearbox, Wavelet, mathemaical morphology, energy, Entropy
