Application of the Wavelet Multi-resolution Analysis and Hilbert transform for the prediction of gear tooth defects

Files in This Item:
File Description SizeFormat 
djebalaetal.pdf1.43 MBAdobe PDFDownload
Title: Application of the Wavelet Multi-resolution Analysis and Hilbert transform for the prediction of gear tooth defects
Authors: Djebala, A.
Ouelaa, N.
Benchaabane, C.
Laefer, Debra F.
Permanent link:
Date: 1-Oct-2012
Online since: 2013-02-12T10:24:18Z
Abstract: In machine defect detection, namely those of gears, the major problem is isolating the defect signature from the measured signal, especially where there is significant background noise or multiple machine components. This article presents a method of gear defect detection based on the combination of Wavelet Multi-resolution Analysis and the Hilbert transform. The pairing of these techniques allows simultaneous filtering and denoising, along with the possibility of detecting transitory phenomena, as well as a demodulation. This paper presents a numerical simulation of the requisite mathematical model followed by its experimental application of acceleration signals measured on defective gears on a laboratory test rig. Signals were collected under various gear operating conditions, including defect size, rotational speed, and frequency bandwidth. The proposed method compares favourably to commonly used analysis tools, with the advantage of enabling defect frequency isolation, thereby allowing detection of even small or combined defects.
Type of material: Journal Article
Publisher: Springer Verlag
Journal: Meccanica
Volume: 47
Issue: 7
Start page: 1601
End page: 1612
Copyright (published version): 2012, Springer Science+Business Media B.V
Keywords: Vibratory analysisGears defectsWavelet multi-resolution analysisHilbert transformDemodulation
DOI: 10.1007/s11012-012-9538-1
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Civil Engineering Research Collection

Show full item record

Citations 10

Last Week
Last month
checked on Feb 11, 2019

Page view(s) 50

checked on May 25, 2018

Download(s) 20

checked on May 25, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.