Virtual Instruments for Detecting Rotor Faults in Induction Motors

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The University of Texas at Arlington, United States

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UPC Broadband Slovakia, Slovakia

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Brno University of Technology, Czech Republic

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National Taiwan University of Science and Technology, Taiwan, Province of China

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Ankara University, Turkey

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Institute of Medical Technology and Equipment, Poland

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VSB - Technical University of Ostrava, Czech Republic

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Academy of Sciences of the Czech Republic, Czech Republic

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University of Defence, Czech Republic

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University of Hradec Kralove, Czech Republic

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Technical University of Radom, Poland

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Technical University of Kosice, Slovakia

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Hongik University, Korea

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Buryat State University, Russia

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Ton Duc Thang University, Vietnam

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Ton Duc Thang University, Vietnam

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VSB - Technical University of Ostrava, Czech Republic

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Wroclaw University of Science and Technology, Poland

Wasiu Oyewole Popoola
The University of Edinburgh, United Kingdom

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Guanajuato University, Mexico

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Technical University of Cluj Napoca, Romania

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Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam

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Henan Polytechnic University, China

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Ton Duc Thang University, Vietnam

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University of Pardubice, Czech Republic

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Delhi Technological University, India

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Ho Chi Minh City University of Technology and Education, Vietnam

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DIMES Department of University of Calabria, Italy

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Henan Polytechnic University, China

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Ho Chi Minh City University of Transport, Vietnam

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Ho Chi Minh City University of Transport, Vietnam

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Ton Duc Thang University, Vietnam

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Virtual Instruments for Detecting Rotor Faults in Induction Motors

Lorand Szabo, Jeno Barna Dobai, Karoly Agoston Biro

DOI:

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.