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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Xehetasun bibliografikoak

Egile Nagusiak:	Jingwen Liu, Yuchen Huang, Dizhi Wu, Yuchen Yang, Yanru Chen, Liangyin Chen, Yuanyuan Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-08-01
Saila:	Sensors
Gaiak:	industrial control systems anomaly detection variational autoencoder anomaly interpretation
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/24/16/5316
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