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...
Main Authors: | , , |
---|---|
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 |