A novel blind deconvolution method and its application to fault identification-Reference-Cited by-同舟云学术

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A novel blind deconvolution method and its application to fault identification

Published:2019-11 Issue: Volume:460 Page:114900
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Cheng Yao,Chen Bingyan,Mei Guiming,Wang Zhiwei,Zhang Weihua

Funder

Southwest Jiaotong University

Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference35 articles.

1. The spectral kurtosis: a useful tool for characterising non-stationary signals;Antoni;Mech. Syst. Signal Process.,2006

2. Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: a review with applications;Wang;Mech. Syst. Signal Process.,2016

3. The design of a novel mother wavelet that is tailor-made for continuous wavelet transform in extracting defect-related features from reflected guided wave signals;Chen;Measurement,2017

4. A new family of model-based impulsive wavelets and their sparse representation for rolling bearing fault diagnosis;Qin;IEEE Trans. Ind. Electron.,2018

5. Recent advances in time–frequency analysis methods for machinery fault diagnosis: a review with application examples;Feng;Mech. Syst. Signal Process.,2013

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