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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jingwen Liu, Yuchen Huang, Dizhi Wu, Yuchen Yang, Yanru Chen, Liangyin Chen, Yuanyuan Zhang
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-08-01
Schriftenreihe:Sensors
Schlagworte:
industrial control systems
anomaly detection
variational autoencoder
anomaly interpretation
Online-Zugang:https://www.mdpi.com/1424-8220/24/16/5316
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