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
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