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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 - edizione con copertina flessibile

2010, ISBN: 3838387147

[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - Induction motors are widely used in present day indus… Altro …

NEW BOOK. Costi di spedizione:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Condition Monitoring of Induction Motors - edizione con copertina flessibile

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Rubenka Bandyopadhyay:
Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in Fault Diagnosis, By Analysis of Data Collected From Vibration and Current Sensors - edizione con copertina flessibile

2010

ISBN: 9783838387147

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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 - edizione con copertina flessibile

2010, ISBN: 3838387147

[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000., Books

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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 ] - edizione con copertina flessibile

2010, ISBN: 3838387147

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

NEW BOOK. Costi di spedizione: EUR 8.24 booksXpress, Freehold, NJ, U.S.A. [71410708] [Rating: 4 (von 5)]

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Condition Monitoring of Induction Motors

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.

Informazioni dettagliate del libro - Condition Monitoring of Induction Motors


EAN (ISBN-13): 9783838387147
ISBN (ISBN-10): 3838387147
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: LAP LAMBERT Academic Publishing
80 Pagine
Peso: 0,136 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2009-12-09T06:40:20+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-06-21T16:58:30+02:00 (Rome)
ISBN/EAN: 9783838387147

ISBN - Stili di scrittura alternativi:
3-8383-8714-7, 978-3-8383-8714-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : bandyopadhyay, winding
Titolo del libro: induction motors, analysis neural networks, condition monitoring, artificial condition, vibration monitoring diagnosis, vibration current motor


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