Impulses Recovery Technique Based on High Oscillation Region Detection and Shifted Rank-1 Reconstruction—Its Application to Bearing Fault Detection-Reference-Cited by-同舟云学术

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Impulses Recovery Technique Based on High Oscillation Region Detection and Shifted Rank-1 Reconstruction—Its Application to Bearing Fault Detection

Published:2022-04-15 Issue:8 Volume:22 Page:8084-8093
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhou Pengcheng¹^ORCID,He Liu²^ORCID,Yi Cai³^ORCID,Zhou Qiuyang³^ORCID

Affiliation:

1. Information Technology Department, Qingdao Residents’ Household Economic Status Verification Center, Qingdao, China

2. School of Automobile and Transportation, Xihua University, Chengdu, China

3. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Research Fund of the State Key Laboratory of Traction Power

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9757031/09733338.pdf?arnumber=9733338

Reference49 articles.

1. On multiple pattern extraction using singular value decomposition

2. Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock

3. Singular value decomposition packet and its application to extraction of weak fault feature

4. Feature selection with SVD entropy: Some modification and extension

5. Singular spectrum analysis and continuous hidden Markov model for rolling element bearing fault diagnosis

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1. Integrating automatic order determination with response prediction error minimization for nonlinear subspace identification in structural dynamics;Nonlinear Dynamics;2024-09-04

2. An extraction method for early fault features of rolling bearings based on resonance sparse signal decomposition and non-convex second-order total variation denoising;Insight - Non-Destructive Testing and Condition Monitoring;2024-08-01

3. A Novel Meta-Learning Network With Adaptive Input Length and Attention Mechanism for Bearing Fault Diagnosis Under Different Working Conditions;IEEE Sensors Journal;2023-11-15

4. Singular component decomposition and its application in rolling bearing fault diagnosis;Measurement Science and Technology;2023-10-13

5. Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box;IEEE Transactions on Vehicular Technology;2023-10

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