Virtual Instruments for Detecting Rotor Faults in Induction Motors

Rotating electrical machines play an important role in the world´s industrial life. Hence there is a demand on their reliable and safe operation. Their faults and failures can lead to excessive downtimes and generate enormous costs in reduced output, emergency maintenance and lost revenues. Therefor...

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Bibliographic Details
Main Authors: Lorand Szabo, Jeno Barna Dobai, Karoly Agoston Biro
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2004-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/394
Description
Summary:Rotating electrical machines play an important role in the world´s industrial life. Hence there is a demand on their reliable and safe operation. Their faults and failures can lead to excessive downtimes and generate enormous costs in reduced output, emergency maintenance and lost revenues. Therefore the detection methods of electrical machines are of real interest. For the rotor faults diagnosis of induction machines one of the most widely used methods is the so-called motor current signature analysis (MCSA). This method can be applied both to the squirrel-cage and to the wound rotor induction motors. For current measurements and a data processing virtual instruments are proposed. In this paper some results obtained in the case of the wound rotor induction machine will be presented.
ISSN:1336-1376
1804-3119