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Condition Monitoring of an Induction Machine using a Stochastic Search Technique

Lookup NU author(s): Khairul Zakaria, Professor Paul Acarnley, Dr Bashar Zahawi

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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.

Publication metadata

Author(s): Zakaria KP, Acarnley PP, Zahawi B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: The 3rd IET International Conference on Power Electronics, Machines and Drives (PEMD 2006)

Year of Conference: 2006

Pages: 5

Publisher: Institution of Electrical Engineers

URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4123483&tag=1

Library holdings: Search Newcastle University Library for this item

ISBN: 0863416187

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