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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Veröffentlicht in:	Journal of physics. Conference series Jg. 2999; H. 1; S. 12029 - 12035
Hauptverfasser:	Chang, Yuanhong, Zhong, Shuncong, Pan, Tongyang, Xie, Jingsong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.04.2025
Schlagworte:	Anomalies Cross correlation High speed rail Learning Undercarriages
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
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