Research on text fault recognition for on-board equipment of a C3 train control system based on an integrated XGBoost algorithm

The robust guarantee of train control on-board equipment is inextricably linked to the safe functioning of a high-speed train. A fault diagnostic model of on-board equipment is built utilizing the integrated learning XGBoost (eXtreme Gradient Boosting) algorithm to help technicians assess the malfun...

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Veröffentlicht in:	Transportation safety and environment Online Jg. 5; H. 4
Hauptverfasser:	Yue, Lili, Liu, Luyue, Li, Maoqing, Xiao, Baodi, Wu, Xiaochun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Changsha Oxford University Press 01.09.2023
Schlagworte:	Accuracy Adaptive sampling Algorithms Control systems Decision trees Fault diagnosis Fault location High speed rail Locomotives Monitoring systems Onboard equipment Robust control Technicians Test sets Training text feature extraction unbalanced data sets fault diagnosis vehicle on-board equipment XGBoost model
ISSN:	2631-4428, 2631-4428
Online-Zugang:	Volltext
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