Gear damage detection using chaotic dynamics techniques: a preliminary study.
Presented at: UNSPECIFIED.
This paper is a preliminary study applying nonlinear time series analysis to crack detection in gearboxes. Our investigations show that the vibration signal emerging from a gearbox is chaotic. Appearance of a crack in a gear tooth alters this response and hence the chaotic signature. We used correlation dimension and Lyapunov exponents to quantify this change. The main goal of this study is to point out the great potential of these methods in detection of cracks and faults in machinery.
|Type:||Conference item (UNSPECIFIED)|
|Title:||Gear damage detection using chaotic dynamics techniques: a preliminary study|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Mechanical Engineering
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