Fault detection techniques using current signature analysis methods: Optimization of Fast Fourier Transform (FFT) algorithm and Wavelet Transform (WT) based multi resolution analysis - Couverture souple

Naghmash, Majid; Hammadi, Khaleel; Nasayif, Abdulhassan

 
9783846555347: Fault detection techniques using current signature analysis methods: Optimization of Fast Fourier Transform (FFT) algorithm and Wavelet Transform (WT) based multi resolution analysis
Couverture souple
ISBN 10 : 3846555347 ISBN 13 : 9783846555347
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

There are many condition monitoring methods such as vibration monitoring, thermal monitoring, chemical monitoring and acoustic emission monitoring. But all of these monitoring methods require expensive sensors and specialized tools. However, the condition monitoring method and fault diagnosis based on motor current signature are a better option since they do not require additional sensors. In this research, a novel criterion function of wavelet processing signal is introduced to diagnose the broken rotor bars in three-phase squirrel cage induction motors. This criterion function facilitates the precise diagnosis of the faults in induction motors under load variations. It uses wavelet transforms available in LabView software to process the stator current signals in the faulty induction motors to extract the wavelet coefficients in a specific time-frequency bands. Furthermore, spectrum analysis of the stator currents around the fundamental frequency is used to diagnose the faults. It is shown that the amplitudes of the frequency harmonics components fb=fs(1±2s) are influenced by the number of broken rotor bars, the exact location of broken rotor bars and the motor loading condition.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

There are many condition monitoring methods such as vibration monitoring, thermal monitoring, chemical monitoring and acoustic emission monitoring. But all of these monitoring methods require expensive sensors and specialized tools. However, the condition monitoring method and fault diagnosis based on motor current signature are a better option since they do not require additional sensors. In this research, a novel criterion function of wavelet processing signal is introduced to diagnose the broken rotor bars in three-phase squirrel cage induction motors. This criterion function facilitates the precise diagnosis of the faults in induction motors under load variations. It uses wavelet transforms available in LabView software to process the stator current signals in the faulty induction motors to extract the wavelet coefficients in a specific time-frequency bands. Furthermore, spectrum analysis of the stator currents around the fundamental frequency is used to diagnose the faults. It is shown that the amplitudes of the frequency harmonics components fb=fs(1±2s) are influenced by the number of broken rotor bars, the exact location of broken rotor bars and the motor loading condition.

Biographie de l'auteur

Khaleel J.Hammady has been a full-time lecturer in the Department of Electronic Techniques, Institute of technology- Baghdad, Ministry of high education and scientific research/Iraq. Received his MS and PhD degree in Electrical engineering from University of Belgrad/ Yugoslavia /1984 and University since Malaysia –Malaysia /2012 respectively.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3846555347
ISBN 13 
9783846555347
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
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