An Adaptive Fault Diagnosis Model for Railway Single and Double Action Turnout-Reference-Cited by-同舟云学术

An Adaptive Fault Diagnosis Model for Railway Single and Double Action Turnout

Published:2023-01 Issue:1 Volume:24 Page:1314-1324
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ji Wenjiang¹^ORCID,Zuo Yuan²,Fei Rong¹^ORCID,Xie Guo³^ORCID,Zhang Jiulong²,Hei Xinhong¹

Affiliation:

1. Xi’an Key Laboratory of Rail Transportation Intelligent Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China

2. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China

3. School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Key Research and Development Program of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10026638/09956825.pdf?arnumber=9956825

Reference34 articles.

1. Fault diagnosis for railway turnout control circuit based on group decision making;dong;Acta Automat Sinica,2018

2. sDTW

3. A Differential Particle Swarm Optimization-based Support Vector Machine Classifier for Fault Diagnosis in Power Distribution Systems

4. An Unsupervised Fault-Detection Method for Railway Turnouts

5. An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data

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