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Experimental investigation on induction motors inter-turns short-circuit and broken rotor bars faults diagnosis through the discrete wavelet transform

Experimental investigation on induction motors inter-turns short-circuit and broken rotor bars... This paper deals with the problem of fault detection in induction motors using the discrete wavelet transform (DWT) method. The DWT is a mathematical method used to extract different frequency components from a given signal. It is based on the decomposition of the processed signals into wavelet approximation and detail coefficients. In order to detect inter-turns short-circuit (ITSC) and broken rotor bars (BRBs) faults, the DWT is applied on two different signals: the current envelope and the current Park’s vector modulus. This study is performed using experimental tests carried-out on a 3 kW squirrel cage induction motor. The energy evaluation of known bandwidth details allows defining a fault severity factor (FSF). This FSF is used to show which signals, wavelet type and wavelet order are more sensitive for the fault detection task. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png e & i Elektrotechnik und Informationstechnik Springer Journals

Experimental investigation on induction motors inter-turns short-circuit and broken rotor bars faults diagnosis through the discrete wavelet transform

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References (32)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Austria, ein Teil von Springer Nature
Subject
Engineering; Electrical Engineering; Computer Hardware; Software Engineering/Programming and Operating Systems
ISSN
0932-383X
eISSN
1613-7620
DOI
10.1007/s00502-018-0607-6
Publisher site
See Article on Publisher Site

Abstract

This paper deals with the problem of fault detection in induction motors using the discrete wavelet transform (DWT) method. The DWT is a mathematical method used to extract different frequency components from a given signal. It is based on the decomposition of the processed signals into wavelet approximation and detail coefficients. In order to detect inter-turns short-circuit (ITSC) and broken rotor bars (BRBs) faults, the DWT is applied on two different signals: the current envelope and the current Park’s vector modulus. This study is performed using experimental tests carried-out on a 3 kW squirrel cage induction motor. The energy evaluation of known bandwidth details allows defining a fault severity factor (FSF). This FSF is used to show which signals, wavelet type and wavelet order are more sensitive for the fault detection task.

Journal

e & i Elektrotechnik und InformationstechnikSpringer Journals

Published: Mar 19, 2018

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