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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Vydané v:	Journal of physics. Conference series Ročník 2999; číslo 1; s. 12029 - 12035
Hlavní autori:	Chang, Yuanhong, Zhong, Shuncong, Pan, Tongyang, Xie, Jingsong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.04.2025
Predmet:	Anomalies Cross correlation High speed rail Learning Undercarriages
ISSN:	1742-6588, 1742-6596
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