A novel rolling bearing fault diagnosis method based on generalized nonlinear spectral sparsity-Reference-Cited by-同舟云学术

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A novel rolling bearing fault diagnosis method based on generalized nonlinear spectral sparsity

Published:2022-07 Issue: Volume:198 Page:111131
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Han Baokun,Yang Zujie,Zhang Zongzhen,Bao: Huaiqian,Wang Jinrui,Liu Zongling,Li Shunming

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference27 articles.

1. Application of an improved kurtogram method for fault diagnosis of rolling element bearings[J];Lei;Mech. Syst. Sig. Process.,2011

2. A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance[J];Shao;Information Fusion,2021

3. Modified deep auto-encoder driven by multi-source parameters for fault transfer prognosis of aero-engine[J];He;IEEE Trans. Ind. Electron.,2021

4. Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis[J];Zhang;Neurocomputing,2020

5. A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram;Barszcz;Mech. Syst. Signal Process.,2011

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