Diagnostic Des D Fauts Des Machines Asynchrones
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Diagnostic des Défauts des Machines Asynchrones
Author: M'Hamed Ouadah
language: fr
Publisher: Editions Universitaires Europeennes
Release Date: 2011-12
Le travail presenter dans ce livre concerne la mis en ouvre d'une methodologie de diagnostic de defaut electrique au rotor de la machine asynchrone a cage d'ecureuil. Dans une premiere etape, on a decrit les differentes elements de constitution d'une machine asynchrone a cage d'ecureuil et les principaux defauts pouvant survenir sur ceux-ci apres avoir presente les differentes techniques des entrainements electriques afin d'analyser brievement leur performance respectives. Dans une deuxieme etape nous proposant un modele de la machine asynchrone a cage d'ecureuil base sur la methode des circuits electriques magnetiquement couples en tenant compte des harmoniques d'espace. Deux techniques de diagnostic des defauts des machines asynchrones a cage d'ecureuil. La premiere technique est basee sur l'analyse de la signature du courant moteur. La deuxieme technique est basee sur l'analyse de la caracteristique couple-vitesse produit par les harmoniques d'espace. Les deux techniques sont validees par les resultats experimentaux. Mots cles Harmoniques d'espace, modelisation, defaut, diagnostic, transformation, spectre frequentiel, machine asynchrone.
Electrical Machines Diagnosis
Author: Jean-Claude Trigeassou
language: en
Publisher: John Wiley & Sons
Release Date: 2013-02-07
Monitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives. This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is performed with a large variety of techniques: parameter estimation, state observation, Kalman filtering, spectral analysis, neural networks, fuzzy logic, artificial intelligence, etc. Particular emphasis in this book is put on the modeling of the electrical machine in faulty situations. Electrical Machines Diagnosis presents original results obtained mainly by French researchers in different domains. It will be useful as a guideline for the conception of more robust electrical machines and indeed for engineers who have to monitor and maintain electrical drives. As the monitoring and diagnosis of electrical machines is still an open domain, this book will also be very useful to researchers.
Advanced Condition Monitoring and Fault Diagnosis of Electric Machines
The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.