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Condition Monitoring of Induction Motors : Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors - Rubenka Bandyopadhyay
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Condition Monitoring of Induction Motors : Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors - Livres de poche

2010, ISBN: 3838387147

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Condition Monitoring of Induction Motors - Livres de poche

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Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in Fault Diagnosis, By Analysis of Data Collected From Vibration and Current Sensors - Livres de poche

2010

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Condition Monitoring of Induction Motors Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors - Rubenka Bandyopadhyay
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Condition Monitoring of Induction Motors Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors - Livres de poche

2010, ISBN: 3838387147

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Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors [Soft Cover ] - Bandyopadhyay, Rubenka
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Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors [Soft Cover ] - Livres de poche

2010, ISBN: 3838387147

[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], Books

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Condition Monitoring of Induction Motors
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ISBN:

9783838387147


Induction motors are widely used in present day industries, on account of its ruggedness,low cost and easy speed control.Condition monitoring of induction motors-the process by which certain parameters are continuously observed and analyzed for early fault detection,has become a vital part of machine maintenance.In this work,Artificial Neural Networks(ANNs)have been used for condition monitoring of 3-phase induction motors.RBF and FFBP neural nets were used for comparative analysis.Data collected from vibration and current sensors were processed and fed as inputs to the ANN. Continuous Wavelet Transform(CWT) and Park's Transform were used for processing. Faults such as bearing fault, broken rotor bar defect and stator winding unbalance faults have been dealt with. A multi-class approach using ANN has been attempted. This book looks into the process by which neural nets may be used to detect faults, which should help researchers,practicing engineers involved in industrial processes using induction motors and anyone else who is interested in using measured parameters in machines, to predict the occurrence and nature of fault.

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EAN (ISBN-13): 9783838387147
ISBN (ISBN-10): 3838387147
Version reliée
Livre de poche
Date de parution: 2010
Editeur: LAP LAMBERT Academic Publishing
80 Pages
Poids: 0,136 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2009-12-09T06:40:20+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-21T16:58:30+02:00 (Zurich)
ISBN/EAN: 9783838387147

ISBN - Autres types d'écriture:
3-8383-8714-7, 978-3-8383-8714-7
Autres types d'écriture et termes associés:
Auteur du livre: bandyopadhyay, winding
Titre du livre: induction motors, analysis neural networks, condition monitoring, artificial condition, vibration monitoring diagnosis, vibration current motor

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