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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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 16; p. 5316
Main Authors:	Liu, Jingwen, Huang, Yuchen, Wu, Dizhi, Yang, Yuchen, Chen, Yanru, Chen, Liangyin, Zhang, Yuanyuan
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 16.08.2024 MDPI
Subjects:	Algorithms anomaly detection anomaly interpretation Engineers Factories industrial control systems Neural networks Sensors Time series Variables variational autoencoder industrial control systems anomaly detection anomaly interpretation variational autoencoder
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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