Monitoring and Fault detection of the Stator short circuit fault in induction motor based on the FuzzyLogic approach
Type : Article de conférence
Auteur(s) : , , ,
Année : 2015
Domaine : Electrotechnique
Conférence: 2nd International Conference on Automation, Control, Engineering and Computer Science (ACECS-2015)
Lieu de la conférence:
Résumé en PDF :
Fulltext en PDF :
Mots clés : Induction Machine Monitoring, Detection, Fuzzy logic, RMS, modeling, Simulation.
Auteur(s) : , , ,
Année : 2015
Domaine : Electrotechnique
Conférence: 2nd International Conference on Automation, Control, Engineering and Computer Science (ACECS-2015)
Lieu de la conférence:
Résumé en PDF :
Fulltext en PDF :
Mots clés : Induction Machine Monitoring, Detection, Fuzzy logic, RMS, modeling, Simulation.
Résumé :
the diagnostic of the induction machinesbecomes more and more important. This made necessarythe monitoring function condition of these machines forimproved an exploitation of the installation. The aim ofthis work is the proposal of a monitoring strategy based onthe fuzzy logic, that informs us about the healthy and faultoperating condition of short-circuit between turns of thestator windings. The principle adopted for the strategysuggested is based on monitoring of the average root meansquare (RMS) value of the stator current, which will beuseful as input data with the fuzzy logic block andconsidered to making decision on the machine state.