Détection d’anomalies pour les bruits de machine

MORSLI, Manel

dc.contributor.author	MORSLI, Manel
dc.date.accessioned	2023-10-04T13:35:55Z
dc.date.available	2023-10-04T13:35:55Z
dc.date.issued	2023
dc.identifier.uri	https://di.univ-blida.dz/jspui/handle/123456789/25251
dc.description	4.621.1.1267/p63	fr_FR
dc.description.abstract	The goal of this project was to detect the anomalies in machine noises whiccan be very indicative of potential performance issues. We propose a methodology that utilizes signal processing techniques and machinlearning algorithms to automatically identify abnormal patterns in machine noise data	fr_FR
dc.language.iso	fr	fr_FR
dc.publisher	blida 1	fr_FR
dc.subject	Deep learning, Anomalies, features.	fr_FR
dc.title	Détection d’anomalies pour les bruits de machine	fr_FR
dc.type	Other	fr_FR