Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy-Reference-Cited by-同舟云学术

Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy

Published:2015-10 Issue: Volume:62-63 Page:91-99
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Han Long,Li Cheng Wei,Guo Song Lin,Su Xun Wen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference11 articles.

1. Application of acoustic emission technique for the detection of defects in rolling element bearings;Choudhury;Tribol. Int.,2000

2. A quantitative study of the relationship between concrete crack parameters and acoustic emission energy released during failure;Beck;Key Eng. Mater.,2003

3. Cyclostationarity of acoustic emissions (AE) for monitoring bearing defects;Kilundu;Mech. Syst. Signal Process.,2011

4. Morphology filters for analyzing roller bearing fault using acoustic emission signal processing;Hao;J. Tsinghua Univ.,2008

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