The Attention Enhanced Autoencoder for Balise Anomaly Detection in Potting Process

The Attention Enhanced Autoencoder for Balise Anomaly Detection in Potting Process

Balise is a critical trackside component in railway systems, operating in harsh environments where silicone gel potting enhances reliability. However, the potting process is irreversible; defects lead to costly scrap and operational delays. For this reason, this study introduces an anomaly detection...

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Bibliographic Details
Main Authors: Ke Ye, Jingpin Jiao, Fanghua Chen, Qing Xu, Gehui Liu, Jun Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Balise
potting process
anomaly detection
deep learning
attention mechanism
autoencoder
Online Access:https://ieeexplore.ieee.org/document/11003048/
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https://ieeexplore.ieee.org/document/11003048/

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