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...

Full description

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
_version_ 1827947661354860544
author Lorand Szabo
Jeno Barna Dobai
Karoly Agoston Biro
author_facet Lorand Szabo
Jeno Barna Dobai
Karoly Agoston Biro
author_sort Lorand Szabo
collection DOAJ
description 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.
first_indexed 2024-04-09T12:43:20Z
format Article
id doaj.art-ba7ec0a0b2b049efb284b72f74ad2f34
institution Directory Open Access Journal
issn 1336-1376
1804-3119
language English
last_indexed 2024-04-09T12:43:20Z
publishDate 2004-01-01
publisher VSB-Technical University of Ostrava
record_format Article
series Advances in Electrical and Electronic Engineering
spelling doaj.art-ba7ec0a0b2b049efb284b72f74ad2f342023-05-14T20:50:07ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192004-01-0132119122438Virtual Instruments for Detecting Rotor Faults in Induction MotorsLorand Szabo0Jeno Barna DobaiKaroly Agoston BiroTechnical University of Cluj NapocaRotating 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.http://advances.utc.sk/index.php/AEEE/article/view/394mcsarotorvirtual instrumentselectrical machines.
spellingShingle Lorand Szabo
Jeno Barna Dobai
Karoly Agoston Biro
Virtual Instruments for Detecting Rotor Faults in Induction Motors
Advances in Electrical and Electronic Engineering
mcsa
rotor
virtual instruments
electrical machines.
title Virtual Instruments for Detecting Rotor Faults in Induction Motors
title_full Virtual Instruments for Detecting Rotor Faults in Induction Motors
title_fullStr Virtual Instruments for Detecting Rotor Faults in Induction Motors
title_full_unstemmed Virtual Instruments for Detecting Rotor Faults in Induction Motors
title_short Virtual Instruments for Detecting Rotor Faults in Induction Motors
title_sort virtual instruments for detecting rotor faults in induction motors
topic mcsa
rotor
virtual instruments
electrical machines.
url http://advances.utc.sk/index.php/AEEE/article/view/394
work_keys_str_mv AT lorandszabo virtualinstrumentsfordetectingrotorfaultsininductionmotors
AT jenobarnadobai virtualinstrumentsfordetectingrotorfaultsininductionmotors
AT karolyagostonbiro virtualinstrumentsfordetectingrotorfaultsininductionmotors