DocumentCode
1841965
Title
An evaluation of the MCSA method when applied to detect faults in motor driven loads
Author
Stopa, Marcelo M. ; Filho, Braz J Cardoso ; Lage, Bruno L O
Author_Institution
Dept. de Eng. Eletr., Centro Fed. de Educ. Tecnol. de Minas Gerais, Belo Horizonte, Brazil
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
760
Lastpage
765
Abstract
In this paper, an evaluation of the MCSA method when applied to detect faults in motor driven loads is presented. The evaluation is based on transfer functions obtained from small signal model of the induction motor. The inherent behavior of the induction motor as a torque transducer is explored to explain some of the characteristic features of its application to monitoring the driven load connected to its shaft. The influence of the electrical and mechanical parameters on its performance as a load fault detector is investigated. Mathematical relationships among these parameters which allow establish the nature of the frequency response are obtained. It is shown that, although the MCSA (Motor Current Signature Analysis) is a simple and effective method to detect faults on the driven load, care must be taken on its usage. This is due to the non-ideal transducer behavior of the induction motor. Simulation and Experimental results validating the studies are presented.
Keywords
fault diagnosis; frequency response; induction motors; transfer functions; MCSA method; frequency response; induction motor; load fault detector; motor current signature analysis; motor driven loads; nonideal transducer behavior; small signal model; torque transducer; transfer functions; Equations; Fault detection; Induction motors; Load modeling; Mathematical model; Torque; Transfer functions; Fault Detection; Fault Diagnosis; Induction motor; Load Monitoring; Motor Current Signature Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Glendale, AZ
ISSN
1553-572X
Print_ISBN
978-1-4244-5225-5
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2010.5675028
Filename
5675028
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