| Issue |
MATEC Web of Conferences
Volume 159, 2018
The 2nd International Joint Conference on Advanced Engineering and Technology (IJCAET 2017) and International Symposium on Advanced Mechanical and Power Engineering (ISAMPE 2017)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 6 | |
| Section | Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201815902028 | |
| Published online | 30 March 2018 | |
Detection of gear defects using method of wavelet decomposition and cross-correlation - Experiment to develop a feasible detection method
Mechanical Engineering Dep. Faculty of Engineering Universitas Sebelas Maret Indonesia
* lulus_l@staff.uns.ac.id; lulus_l@yahoo.com
Detection of machine component failure is very important to be properly applied in a maintenance program in industries. The objective of this research is to detect gear fault using wavelet transforms. The vibration signal is acquired with accelerometer mounted at bearing houses of 2 parallel shafts with 2 spur gears (28 tooth). The gears are rotated at 1200 RPM and the spectrum is displayed. The spectrum cannot indicate gear mesh frequencies (GMF), because they are covered with frequencies such as natural and harmonic frequencies of rotating shaft. This research have developed a method to obtain GMF using wavelet decomposition and cross correlation. The results showed that with FFT applied to cross-correlation of wavelet detil components, spectrum of visible and distinctable GMF has been obtained.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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