C3 Timeout Fault Diagnosis in High-Speed Railway GSM-R System Based on CART Decision Tree Algorithm

Important information about the driving speed and position of the high-speed railway is transmitted and feedback through the GSM-R system. When the C3 timeout fault alarm occurs, the driving safety is seriously affected. This paper deeply mines the data and uses the CART decision tree algorithm to build the model through machine learning. The results show that the model is reasonably constructed and can accurately determine the cause of the failure.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eecr64516.2025.11077195
Primary Topic
Power Systems and Technologies
Type
article
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article

C3 Timeout Fault Diagnosis in High-Speed Railway GSM-R System Based on CART Decision Tree Algorithm

Yanfeng Pan, Congling Hou
Power Systems and Technologies
article

C3 Timeout Fault Diagnosis in High-Speed Railway GSM-R System Based on CART Decision Tree Algorithm

Yanfeng Pan, Congling Hou
article en

Abstract

Important information about the driving speed and position of the high-speed railway is transmitted and feedback through the GSM-R system. When the C3 timeout fault alarm occurs, the driving safety is seriously affected. This paper deeply mines the data and uses the CART decision tree algorithm to build the model through machine learning. The results show that the model is reasonably constructed and can accurately determine the cause of the failure.

Zhejiang Industry Polytechnic College (CN), Guangzhou Electronic Technology (China) (CN)
Openalex Percentile: Top 82%
Power Systems and Technologies
DOISourceOpenAlex
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C3 Timeout Fault Diagnosis in High-Speed Railway GSM-R System Based on CART Decision Tree Algorithm — Yanfeng Pan, Congling Hou · (2025) | TGRS Research Map | TGRS