Condition Monitoring for Railway Point Machines Based on Sound Analysis and Support Vector Machine-Reference-Cited by-同舟云学术

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Condition Monitoring for Railway Point Machines Based on Sound Analysis and Support Vector Machine

Published:2020-07 Issue:4 Volume:29 Page:786-792
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

SUN Yongkui¹,CAO Yuan²,XIE Guo³,WEN Tao¹

Affiliation:

1. School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijing100044China

2. National Engineering Research Center of Rail Transportation Operation and Control SystemBeijing Jiaotong UniversityBeijing100044China

3. Shaanxi Key Laboratory of Complex System Control and Intelligent Information ProcessingXi'an University of TechnologyShaanxi710048China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2020.06.007

Cited by 23 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. Dual-input robust diagnostics for railway point machines via audio signals;Network: Computation in Neural Systems;2024-06-11

2. Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints;Chinese Journal of Electronics;2024-05

3. Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy;Chinese Journal of Electronics;2024-05

4. Machine Learning-based Predictive Maintenance for Fault Detection in Rotating Machinery: A Case Study;Engineering, Technology & Applied Science Research;2024-04-02

5. Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine;IEEE Intelligent Transportation Systems Magazine;2023-11

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