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 - Taschenbuch
[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… Mehr…
[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - 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. 80 pp. Englisch, Books<
*Condition Monitoring of Induction Motors* - Use of Artificial Neural Networks in fault diagnosis by analysis of data collected from vibration and current sensors / Taschenbuch für 48.99 … Mehr…
*Condition Monitoring of Induction Motors* - Use of Artificial Neural Networks in fault diagnosis by analysis of data collected from vibration and current sensors / Taschenbuch für 48.99 € / Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft Medien > Bücher nein Taschenbuch Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Elektronik, Elektrotechnik, Nachrichtentechnik, LAP LAMBERT Academic Publishing<
Hugendubel.de
Versandkosten:Shipping in 3 days, , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00) Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
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 - Taschenbuch
Paperback, Neubuch, BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPED… Mehr…
Paperback, Neubuch, BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPEDITED ORDERS***, [PU: LAP LAMBERT Academic Publishing]<
alibris.co.uk
Wilmington, DE, Awesomebooks_Newbooks Versandkosten:zzgl. Versandkosten Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
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 - Taschenbuch
[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000., Books
AbeBooks.de
PBShop.store US, Wood Dale, IL, U.S.A. [8408184] [Rating: 5 (von 5)] NEW BOOK. Versandkosten: EUR 4.58 Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Bandyopadhyay, Rubenka: 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 ] - Taschenbuch
Condition Monitoring of Induction Motors : Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors - Taschenbuch
[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… Mehr…
[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - 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. 80 pp. Englisch, Books<
*Condition Monitoring of Induction Motors* - Use of Artificial Neural Networks in fault diagnosis by analysis of data collected from vibration and current sensors / Taschenbuch für 48.99 … Mehr…
*Condition Monitoring of Induction Motors* - Use of Artificial Neural Networks in fault diagnosis by analysis of data collected from vibration and current sensors / Taschenbuch für 48.99 € / Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft Medien > Bücher nein Taschenbuch Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Elektronik, Elektrotechnik, Nachrichtentechnik, LAP LAMBERT Academic Publishing<
Versandkosten:Shipping in 3 days, , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
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 - Taschenbuch
Paperback, Neubuch, BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPED… Mehr…
Paperback, Neubuch, BRAND NEW BOOK! Shipped within 24-48 hours. Normal delivery time is 5-12 days. Please note some orders may be shipped from UK with same delivery timeframe, ***NO EXPEDITED ORDERS***, [PU: LAP LAMBERT Academic Publishing]<
Versandkosten:zzgl. Versandkosten Wilmington, DE, Awesomebooks_Newbooks
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 - Taschenbuch
[EAN: 9783838387147], Neubuch, [PU: LAP LAMBERT Academic Publishing], New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000., Books
NEW BOOK. Versandkosten: EUR 4.58 PBShop.store US, Wood Dale, IL, U.S.A. [8408184] [Rating: 5 (von 5)]
Bandyopadhyay, Rubenka: 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 ] - Taschenbuch
1Da einige Plattformen keine Versandkonditionen übermitteln und diese vom Lieferland, dem Einkaufspreis, dem Gewicht und der Größe des Artikels, einer möglichen Mitgliedschaft der Plattform, einer direkten Lieferung durch die Plattform oder über einen Drittanbieter (Marketplace), etc. abhängig sein können, ist es möglich, dass die von eurobuch angegebenen Versandkosten nicht mit denen der anbietenden Plattform übereinstimmen.
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.
Detailangaben zum Buch - Condition Monitoring of Induction Motors
EAN (ISBN-13): 9783838387147 ISBN (ISBN-10): 3838387147 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2010 Herausgeber: LAP LAMBERT Academic Publishing 80 Seiten Gewicht: 0,136 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2009-12-09T06:40:20+01:00 (Zurich) Detailseite zuletzt geändert am 2023-06-21T16:58:30+02:00 (Zurich) ISBN/EAN: 9783838387147
ISBN - alternative Schreibweisen: 3-8383-8714-7, 978-3-8383-8714-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: bandyopadhyay, winding Titel des Buches: induction motors, analysis neural networks, condition monitoring, artificial condition, vibration monitoring diagnosis, vibration current motor