Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine-Reference-Cited by-同舟云学术

Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine

Published:2023-11 Issue:6 Volume:15 Page:96-108
ISSN:1939-1390
Container-title:IEEE Intelligent Transportation Systems Magazine
language:
Short-container-title:IEEE Intell. Transport. Syst. Mag.

Author:

Sun Yongkui¹^ORCID,Cao Yuan¹^ORCID,Li Peng²^ORCID,Su Shuai³^ORCID

Affiliation:

1. National Engineering Research Center of Rail Transportation Operation Control System, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

3. Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/5117645/10310036/10216336.pdf?arnumber=10216336