"An anomalous sound detection methodology for predictive maintenance."

Emanuele Di Fiore et al. (2022)

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DOI: 10.1016/J.ESWA.2022.118324

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type: Journal Article

metadata version: 2022-10-18

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Emanuele Di Fiore, Antonino Ferraro, Antonio Galli, Vincenzo Moscato, Giancarlo Sperlì:
An anomalous sound detection methodology for predictive maintenance. Expert Syst. Appl. 209: 118324 (2022)

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