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Multi-Channel Multi-Scale Convolution Attention Variational Autoencoder (MCA-VAE): An Interpretable Anomaly Detection Algorithm Based on Variational Autoencoder

With the rapid development of industry, the risks factories face are increasing. Therefore, the anomaly detection algorithms deployed in factories need to have high accuracy, and they need to be able to promptly discover and locate the specific equipment causing the anomaly to restore the regular op...

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Principais autores: Jingwen Liu, Yuchen Huang, Dizhi Wu, Yuchen Yang, Yanru Chen, Liangyin Chen, Yuanyuan Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-08-01
coleção:Sensors
Assuntos:
industrial control systems
anomaly detection
variational autoencoder
anomaly interpretation
Acesso em linha:https://www.mdpi.com/1424-8220/24/16/5316
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