Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/14432
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dc.contributor.authormokhtari, yakoob-
dc.date.accessioned2019-12-03T12:26:15Z-
dc.date.available2019-12-03T12:26:15Z-
dc.date.issued2019-06-20-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/14432-
dc.description.abstractdiagnostics thy defects mechanical of rotating machines by vibration analysis has evolved considerably in recent years thanks to advanced signal processing techniques. These techniques now used to detect at an early stage there is a fault, identify its nature, determine its severity and monitor its evolution. This work is part of the theme of monitoring and diagnostics of mechanical defects and particularly bearing defects. The study we're going to do is based on the application of a signal processing technique is an effective solution for the diagnosis of bearing fault, this method is spectral analysis, which is based on the FFT ( Fast Fourier transform). The aim of this work is to study the influence of above mentioned parameters on the sensitivity of the scalar indicators , which are tools to aid in the implementation of the diagnosis thy defects of bearing Keywords: diagnostics, Vibration ,analysis spectrum, bearing, Fourier transforms, defects. spectrumen_US
dc.language.isofren_US
dc.titleDiagnostic des défauts mécaniques du moteur asynchrone par l'analyse vibratoireen_US
dc.title.alternativeElectrotechniqueen_US
dc.typeMasteren_US
Appears in Collections:Faculté des Sciences et de la technologie (FST)

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