Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts-Reference-Cited by-同舟云学术

Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts

Published:2023-05 Issue:5 Volume:24 Page:4975-4987
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Zhipeng¹^ORCID,Wang Ning¹^ORCID,Zhang Huiyue¹^ORCID,Jia Limin¹^ORCID,Qin Yong¹^ORCID,Zuo Yakun¹,Zhang Yusheng¹,Dong Honghui²^ORCID

Affiliation:

1. State Key Laboratory of Rail Traffic Control & Safety and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China

2. Beijing Research Center of Urban Traffic Information Sensing and Service Technologies and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Research Project of State Key Laboratory of Rail Traffic Control & Safety

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10121021/10038650.pdf?arnumber=10038650

Reference32 articles.

1. Research on fault diagnosis method of S700 K switch machine based on grey neural network;wang;Journal of Railway,2016