Continuous Health Monitoring of Bearing by Oscillatory Sparsity Indices Under Non Stationary Time Varying Speed Condition-Reference-Cited by-同舟云学术

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Continuous Health Monitoring of Bearing by Oscillatory Sparsity Indices Under Non Stationary Time Varying Speed Condition

Published:2022-03-01 Issue:5 Volume:22 Page:4452-4462
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Noman Khandaker¹^ORCID,Li Yongbo¹^ORCID,Peng Zhike²^ORCID,Wang Shun¹^ORCID

Affiliation:

1. MIIT Key Laboratory of Dynamics and Control of Complex System, School of Aeronautics, Northwestern Polytechnical University, Xi’an, China

2. School of Mechanical Engineering, Institute of Vibration, Shock & Noise, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China, China

Key Laboratory of Equipment Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9722574/09691366.pdf?arnumber=9691366

Reference39 articles.

1. Detection of faulty high speed wind turbine bearing using signal intensity estimator technique

2. Dynamic Degradation Quantification of Wind Turbine High Speed Shaft Bearing Based on Oscillation Based Sparsity Indices

3. Image decomposition via the combination of sparse representations and a variational approach

4. Auto-OBSD: Automatic parameter selection for reliable Oscillatory Behavior-based Signal Decomposition with an application to bearing fault signature extraction

5. Bearing fault diagnosis under variable rotational speed via the joint application of windowed fractal dimension transform and generalized demodulation: A method free from prefiltering and resampling

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