Unsupervised Dual Convolutional Autoencoder Models for Efficient Group Anomaly Detection of HST Bogies via Domain Adversarial Learning

The bogie system is known as the “legs” of high-speed train (HST), various failures will inevitably occur under large disturbances, high speeds, and heavy loads. Abnormal detection (AD) is an important means to detect the health status of its key components. Nevertheless, the cross-correlation of fa...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 2999; no. 1; pp. 12029 - 12035
Main Authors:	Chang, Yuanhong, Zhong, Shuncong, Pan, Tongyang, Xie, Jingsong
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.04.2025
Subjects:	Anomalies Cross correlation High speed rail Learning Undercarriages
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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