Fault Prediction of On-Board Train Control Equipment Using a CGAN-Enhanced XGBoost Method with Unbalanced Samples

Fault Prediction of On-Board Train Control Equipment Using a CGAN-Enhanced XGBoost Method with Unbalanced Samples

On-board train control equipment is an important component of the Train Control System (TCS) of railway trains. In order to guarantee the safe and efficient operation of the railway system, Predictive Maintenance (PdM) is significantly required. The operation data of the on-board equipment allow us...

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Bibliographic Details
Main Authors: Jiang Liu, Kangzhi Xu, Baigen Cai, Zhongbin Guo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Machines
Subjects:
train control equipment
predictive maintenance
fault prediction
Conditional Generative Adversarial Network (CGAN)
eXtreme Gradient Boosting (XGBoost)
unbalanced samples
Online Access:https://www.mdpi.com/2075-1702/11/1/114

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https://www.mdpi.com/2075-1702/11/1/114

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