DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

In recent years, the proliferation of IoT technologies and the widespread adoption of wireless sensors across various critical infrastructures such as power plants, service monitoring systems, space and earth exploration missions, and water treatment facilities have resulted in the generation of vas...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Xigang Zhao, Peng Liu, Saïd Mahmoudi, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Anomaly detection Normalizing flow Time series Autoencoder
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016824007348