Title :
Fault detection In electrical drives - approach signal
Author :
Chahmi, Abdelghani ; Bendjebbar, Mokhtar ; Raison, Bertrand
Author_Institution :
Lab. Dev. des entrainements Electr., Univ. des Sci. et Technol., Oran, Algeria
Abstract :
This article examines the detection of faults in electrical systems, particularly those using asynchronous machines. First, the process of failure will be characterized, relevant symptoms will be defined and based on those processes and symptoms, a model of those malfunctions will be obtained. second, the development of diagnosis of the machine will be shown. As studies of malfunctions in electrical systems could only rely on a small amount of experimental data, it has been essential to provide ourselves with simulation tools which allowed us to characterize the faulty behavior. Fault detection use signal processing techniques in known operating phases (fixed speed).
Keywords :
fault diagnosis; induction motor drives; signal processing; asynchronous machines; electrical drives; electrical systems; fault detection; faulty behavior; signal processing techniques; Analysis frequency; Induction motor; Modeling; fault rotorique; fault statorique;
Conference_Titel :
Electrical Sciences and Technologies in Maghreb (CISTEM), 2014 International Conference on
DOI :
10.1109/CISTEM.2014.7076938