Title :
Condition Monitoring of an Induction Machine using a Stochastic Search Technique
Author :
Zakaria, K.P. ; Acarnleyt8, P.P. ; Zahawi, Bashar
Author_Institution :
Power Electronics, Drives and Machines Group, School of EECE, University of Newcastle upon Tyne, UK. k.p.zakaria@ncl.ac.uk
Abstract :
This paper describes the principles of a new technique for electrical condition monitoring of the stator and rotor circuits in an induction machine. Using time-domain terminal voltages and currents with rotor position data, a stochastic search technique (simulated annealing) is able to confirm that the machine windings are healthy, or indicate that there is a fault and provide information about the location and nature of the fault. The technique is demonstrated using experimental data from a laboratory machine with both armature and secondary winding faults.
Keywords :
condition monitoring; induction machine;
Conference_Titel :
Power Electronics, Machines and Drives, 2006. The 3rd IET International Conference on
Conference_Location :
The Contarf Castle, Dublin, Ireland
Print_ISBN :
0-86341-609-8