Mémoires de Fin d’Etudes
Etablissement
Université de Laghouat - Amar Telidji
Affiliation
Département Electrique
Auteur
Koul, Okba
Directeur de thèse
KIOUS Mecheri (Maitre de conférence)
Co-directeur
KIOUS Mecheri (Maitre de conférence)
Filière
Electronique
Diplôme
Magister
Titre
Aid in the diagnosis and monitoring of rotating machinery by signal processing
Mots clés
Diagnosis, monitoring, rotating machines, signal processing,gears, bearings, cutting tool wear,machining,
Résumé
All operating machines generate vibrations, images of dynamic forces caused by moving parts. Thus, a new machine in excellent working condition produces very little vibration. Deterioration of functioning often leads to a higher level of vibration. Observing the evolution of this level, it is therefore possible to obtain valuable information on the state of the machine. These vibrations have a privileged place among the parameters to be considered in making a diagnosis. Changing the vibration of a machine is often the first physical manifestation of an anomaly, a potential cause of damage or failure. These features make the monitoring vibration analysis, an essential tool for modern maintenance since it allows for screening or diagnosis appropriate. That is why the control of rotating machinery through vibration analysis is commonly used for monitoring mechanical components such as bearings, gears, wear of cutting tools for machining centers. This is to detect the occurrence of a mechanical defect without dismantling the machine, using vibration signals from sensors. Each sensor receives a mixture of sources issued by the various organs of the system. In recent years, many studies have been devoted to the detection of faults in rotating machinery. In this context it about magister will be undertaken to give a contribution in this field vibration analysis of rotating machinery monitoring, using different techniques (advanced) signal processing which have shown their effectiveness in other areas.
Statut
Validé