Wheelset bearing fault detection using morphological signal and image analysis-Reference-Cited by-同舟云学术

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Wheelset bearing fault detection using morphological signal and image analysis

Published:2020-07-24 Issue:11 Volume:27 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Li Yifan¹^ORCID,Liang Xihui²,Chen Yuejian³,Chen Zaigang⁴,Lin Jianhui⁴

Affiliation:

1. School of Mechanical Engineering Southwest Jiaotong University Chengdu China

2. Department of Mechanical Engineering University of Manitoba Winnipeg Canada

3. Department of Mechanical Engineering University of Alberta Edmonton Canada

4. Traction Power State Key Lab Southwest Jiaotong University Chengdu China

Funder

Fundamental Research Funds for the Central Universities

Sichuan Province Science and Technology Support Program

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2619

Reference39 articles.

1. Railway infrastructure damage detection using wavelet transformed acceleration response of traversing vehicle

2. Monitoring bolt tightness of rail joints using axle box acceleration measurements

3. Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter

4. Online condition monitoring of rolling stock wheels and axle bearings

5. Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

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1. EMD-Based Intelligent Crack Detection in Freight Railway Axles;Advances in Mechanism and Machine Science;2023-11-05

2. Use of vibration signal to estimate instantaneous angular frequency under strong nonstationary regimes;Mechanical Systems and Signal Processing;2023-10

3. Automated and Adaptive Ridge Extraction for Rotating Machinery Fault Detection;IEEE/ASME Transactions on Mechatronics;2023-10

4. A new mechanical compound fault diagnosis method based on morphological filter and RLS;Measurement Science and Technology;2023-07-27

5. Research on fault diagnosis method of wheelset bearing based on IESK deconvolution and AC-LPC resonance peak estimation;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-06-08

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