The Investigation of Data Voting Algorithm for Train Air-Braking System Based on Multi-Classification SVM and ANFIS-Reference-Cited by-同舟云学术

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The Investigation of Data Voting Algorithm for Train Air-Braking System Based on Multi-Classification SVM and ANFIS

Published:2024-01 Issue:1 Volume:33 Page:274-281
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Wang Juhan¹,Gao Ying²,Cao Yuan³,Tang Tao³

Affiliation:

1. School of Electronics and Information Engineering, Beijing Jiaotong University,Beijing,China,100044

2. China Academy of Railway Science,Graduate Department,Beijing,China,100044

3. National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing,China,100044

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9970761/10410587/10410583.pdf?arnumber=10410583

Reference26 articles.

1. Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units

2. Research on Fault Diagnosis Method for Speed Sensor of High-Speed Train

3. Distributed Soft Fault Detection for Interval Type-2 Fuzzy-Model-Based Stochastic Systems With Wireless Sensor Networks

4. Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture

5. Incipient Fault Detection for Air Brake System of High-Speed Trains

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