Method of De-Noising By Spectral Subtraction Applied to the Detection of Rolling Bearings Defects-Reference-Cited by-同舟云学术

Method of De-Noising By Spectral Subtraction Applied to the Detection of Rolling Bearings Defects

Published:2006-02 Issue:2 Volume:12 Page:197-211
ISSN:1077-5463
Container-title:Journal of Vibration and Control
language:en
Short-container-title:Journal of Vibration and Control

Author:

Estocq P.¹,Bolaers F.²,Dron J. P.¹,Rasolofondraibe L.³

Affiliation:

1. Groupe de Mécanique Matériaux et Structures/Groupe de Mécanique Appliquée, Université de Reims Champagne-Ardenne, IUT Reims, rue des Crayéres, BP 1035, 51687 Reims Cedex 2, France

2. Groupe de Mécanique Matériaux et Structures/Groupe de Mécanique Appliquée, Université de Reims Champagne-Ardenne, IUT Reims, rue des Crayéres, BP 1035, 51687 Reims Cedex 2, France,

3. Laboratoires d’Automatique et de Micro-électronique, UFR sciences exactes et naturelles, Moulin de la housse, BP 1039, 51687 Reims Cedex 2, France

Abstract

In this paper we aim to show the significance of spectral subtraction for the improvement of the sensitivity of scalar indicators (crest factor, kurtosis) within the application of conditional maintenance by vibratory analysis on ball bearings. If we consider the case of a bearing in good condition of use, the distribution of the amplitudes in the signal is Gaussian. When the bearing is damaged, the appearance of spallings disturbs this signal, modifying this distribution. This modification goes through the presence of periodical impulses produced each time a rolling element meets a discontinuity on its way. Nevertheless, the presence of background noise induced by random impulse excitations can have an influence on the values of these temporal indicators. The de-noising of these signals by spectral subtraction in different frequency bands allows us to improve the sensitivity of these indicators and to increase the reliability of the diagnosis.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/1077546306041151

Reference10 articles.

1. A unified approach to short-time Fourier analysis and synthesis

2. Suppression of acoustic noise in speech using spectral subtraction

3. OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bearing Fault Diagnosis Based on the Variational Mode Decomposition Technique;Engineering Assets and Public Infrastructures in the Age of Digitalization;2020

2. A pattern recognition system based on acoustic signals for fault detection on composite materials;European Journal of Mechanics - A/Solids;2017-07

3. A bearing fault diagnosis technique based on singular values of EEMD spatial condition matrix and Gath-Geva clustering;Applied Acoustics;2017-06

4. Research of singular value decomposition based on slip matrix for rolling bearing fault diagnosis;Journal of Sound and Vibration;2015-05

5. Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum;Journal of Vibration and Control;2014-09-03