Simulation of Various Faults in Electric Machines

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dc.contributor.authorGUERMOUZ Mohamed Amine
dc.contributor.authorESSID Abderrahmane
dc.contributor.authorDEKHANE Azzeddine (Encadrant)
dc.date.accessioned2025-11-18T08:19:17Z
dc.date.available2025-11-18T08:19:17Z
dc.date.issued2025
dc.description.abstractThe performance and dependability of three-phase induction motors are integral to the continuing operations of many industrial processes. However, all machines are susceptible to electrical or mechanical faults such as a broken rotor bar, short circuit in the stator, and voltage unbalance, which can rapidly lead to damaging consequences and expensive downtime. The SKD factory, which is an integral portion of this study had not adopted an advanced motor testing or fault diagnostic approach, but a means of detecting and classifying faults would be a significant improvement when working with three-phase induction motors. This work provides results from a MATLAB/Simulink environment simulation approach of typical motor faults which analyses how the faults behaved dynamically when processed through current signals. A Fast Fourier Transform (FFT) was applied to extract key frequency signatures that represented the faults. This work serves as an example to convey potential opportunities for detecting faults. Unlike in-line motor tests, this study demonstrated how spectral analysis could be applied in a non-invasive nature, to provide motor fault diagnostics with the aim of developing predictive maintenance and improved reliability for the industry.
dc.identifier.urihttp://dspace.ensti-annaba.dz:4000/handle/123456789/932
dc.language.isoen
dc.publisherNational Higher School of Technology and Engineering - Annaba
dc.subjectMoteur asynchrone
dc.subjectDiagnostic des défauts
dc.subjectFFT
dc.subjectMATLAB/Simulink
dc.subjectBarre de rotor cassée .
dc.subjectDéfaut du stator
dc.subjectSimulation
dc.subjectMaintenance prédictive
dc.subjectAnalyse vibratoire
dc.subjectSpectre de courant
dc.titleSimulation of Various Faults in Electric Machines
dc.typeThesis
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