DocumentCode :
1901504
Title :
A hybrid kangaroo algorithm to assess the state of health of electric motors
Author :
Razik, H. ; Oumaamar, M. El K. ; Clerc, Guy
Author_Institution :
Lab. Ampere Ampere, Univ. Lyon 1, Villeurbanne, France
fYear :
2013
fDate :
27-30 Aug. 2013
Firstpage :
43
Lastpage :
48
Abstract :
Even if the asynchronous machine is widely used in industrial process under speed variable, we have to monitor the process which is composed of an inverter and a motor in an enclosed space. Thus, the stator current is not accessible and the AC supply line current is only available to monitor the system in comparison to a motor connected directly to the power supply. In this paper, we focus our attention on the tracking of faulty lines rising up in the supply line current due to a rotor bar defect. We suggest to use a meta-heuristic method to tackle this problem. In this paper a hybrid kangaroo and a non-linear great deluge are taken into consideration to track these defective lines thanks to the analysis of the supply line. Experiments results show the effectiveness of this approach.
Keywords :
condition monitoring; electrical maintenance; fault diagnosis; induction motors; invertors; optimisation; power supplies to apparatus; rotors; AC supply line current; asynchronous machine; electric motor; faulty line tracking; hybrid kangaroo algorithm; inverter; metaheuristic method; power supply; rotor bar defect; state of health assessment; Circuit faults; Frequency conversion; Induction motors; Inverters; Monitoring; Rotors; Stators; Diagnostic induction motor; great deluge; kangaroo;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/DEMPED.2013.6645695
Filename :
6645695
Link To Document :
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