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Virtual Instruments for Detecting Rotor Faults in Induction Motors
Journal Title Advances in Electrical and Electronic Engineering
Journal Abbreviation AEEE
Publisher Group Technical University of Ostrava (VSB)
Website http://advances.utc.sk/index.php/AEEE
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Title Virtual Instruments for Detecting Rotor Faults in Induction Motors
Authors Biro, Karoly Agoston; Dobai, Jeno Barna; Szabo, Lorand
Abstract 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.
Publisher Faculty of Electrical Engineering and Computer Science
Date 2011-07-07
Source Advances in Electrical and Electronic Engineering Vol 3, No 2 (2004): June
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