An adaptive morphological gradient lifting wavelet for detecting bearing defects-Reference-Cited by-同舟云学术

An adaptive morphological gradient lifting wavelet for detecting bearing defects

Published:2012-05 Issue: Volume:29 Page:415-427
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Li Bing,Zhang Pei-lin,Mi Shuang-shan,Hu Ren-xi,Liu Dong-sheng

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference26 articles.

1. Vibration monitoring of roller element bearing by the high-frequency resonance technique;McFadden;Tribol. Int.,1984

2. A comparison of some vibration parameters for the condition monitoring of rolling element bearings;Tandon;Meas.,1994

3. Modelling of the spalled rolling element bearing vibration signal: An overview and some new results;Brie;Mech. Syst. Sig. Process.,2000

4. A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size;Al-Ghamd;Mech. Syst. Sig. Process.,2006

5. Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: Comprehensive case studies;Orhan;NDT E Int.,2006

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