"A Novel Methodology for Unsupervised Anomaly Detection in Industrial ..."

Marco Carratù et al. (2023)

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DOI: 10.1109/TIM.2023.3318684

access: open

type: Journal Article

metadata version: 2023-11-01

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Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, Paolo Sommella, Alessandro Bartolini, Francesco Grasso, Lorenzo Ciani, Gabriele Patrizi:
A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)

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