Envelope Harmonic Noise Ratio Based Adaptive Kurtogram and Its Application in Bearing Compound Fault Identification-Reference-Cited by-同舟云学术

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Envelope Harmonic Noise Ratio Based Adaptive Kurtogram and Its Application in Bearing Compound Fault Identification

Published:2022-05-01 Issue:9 Volume:22 Page:8701-8714
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wu Wenyi¹,Yi Cai¹^ORCID,Bai Jie²,Huang Yan³,Lin Jianhui¹^ORCID

Affiliation:

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

2. School of Macquarie Business, Macquarie University, Sydney, NSW, Australia

3. College of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen, China

Funder

National Natural Science Foundation of China

Research Fund of the State Key Laboratory of Traction Power

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9766065/09736992.pdf?arnumber=9736992

Reference46 articles.

1. Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis

2. Adaptive Kurtogram and its applications in rolling bearing fault diagnosis

3. An enhanced Kurtogram method for fault diagnosis of rolling element bearings

4. Application of an improved kurtogram method for fault diagnosis of rolling element bearings

5. Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis

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1. Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location;Expert Systems with Applications;2024-11

2. Sliding time synchronous averaging based on independent extended autocorrelation function for feature extraction of bearing fault;Measurement;2024-08

3. Adaptive cyclic content ratiogram: a new signal decomposition method for bearing concurrent fault diagnosis;Structural Health Monitoring;2024-07-24

4. Improved Group Sparse Modal Decomposition Methods With Applications to Fault Diagnosis of Rotating Machinery;IEEE Transactions on Industrial Informatics;2024-06

5. An adaptive Morlet wavelet-based iterative filtering method for locating informative frequency band;Measurement Science and Technology;2024-05-08

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