Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box

Published:2023-10 Issue:10 Volume:72 Page:12744-12756
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhou Qiuyang¹^ORCID,Yi Cai¹^ORCID,Yan Lei²,Song Xinwu³,Xu Du⁴,Huang Chenguang⁵,Zhou Lu⁶,Lin Jianhui¹^ORCID

Affiliation:

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

2. CRRC Qingdao Sifang Co., Ltd., Qingdao, China

3. CARS Co., Ltd, Beijing, China

4. August first film studio, Beijing, China

5. Weichai power Co., Ltd, Weifang, China

6. School of Civil Engineering, Sun Yat-sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Research Fund of the State Key Laboratory of Traction Power

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10287112/10111029.pdf?arnumber=10111029

Reference62 articles.

1. A new fault diagnosis method based on adaptive spectrum mode extraction

2. Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings

3. Weighted envelope spectrum based on the spectral coherence for bearing diagnosis

4. A parameterless scale-space approach to find meaningful modes in histograms — Application to image and spectrum segmentation

5. Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

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

3. A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings;Engineering Applications of Artificial Intelligence;2024-01

4. Harmonic spectral correlated kurtosis and an adaptive matching extraction strategy of multi-fault features for rotating machinery;Structural Health Monitoring;2023-07-07

5. Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring;IEEE Transactions on Automation Science and Engineering;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3