Diagnostic d’un défaut rotorique dans les moteurs asynchrones triphasés à cage par RNA

dc.contributor.author	Benyahia Oussama, Belazzoug Walid
dc.date.accessioned	2022-11-09T08:05:35Z
dc.date.available	2022-11-09T08:05:35Z
dc.date.issued	2022-06-25
dc.identifier.uri	https://dspace.univ-bba.dz:443/xmlui/handle/123456789/2288
dc.description.abstract	In this work, we have modeled and simulated the asynchronous machine for the diagnosis of the rotor bar breakage fault. This diagnosis is based on two techniques. The first is the application of signal processing which is an efficient solution to the problem of fault diagnosis. The second is based on a neural network, which is one of the best tools for automatic fault diagnosis. This technique allows to diagnose and determine the number of broken bars despite the change of the load.	en_US
dc.language.iso	fr	en_US
dc.publisher	faculté des sciences et de la technologie univ bba	en_US
dc.relation.ispartofseries	;EM/M/2022/12
dc.subject	Diagnosis, asynchronous machine, signal processing, neural network	en_US
dc.title	Diagnostic d’un défaut rotorique dans les moteurs asynchrones triphasés à cage par RNA	en_US
dc.type	Thesis	en_US