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

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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


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