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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Vydáno v:	Transportation safety and environment Online Ročník 5; číslo 4
Hlavní autoři:	Yue, Lili, Liu, Luyue, Li, Maoqing, Xiao, Baodi, Wu, Xiaochun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Changsha Oxford University Press 01.09.2023
Témata:	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
On-line přístup:	Získat plný text
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