Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Condition Monitoring of an Induction Machine using a Stochastic Search Technique

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

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

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

Share