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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 - Bandyopadhyay, Rubenka
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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 - Taschenbuch

2010, ISBN: 9783838387147

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Induction motors are widely used in present day industries, on account of its ruggedness,low cost and easy speed cont… Mehr…

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Condition Monitoring of Induction Motors - Rubenka Bandyopadhyay
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Rubenka Bandyopadhyay:

Condition Monitoring of Induction Motors - Taschenbuch

ISBN: 9783838387147

[ED: Taschenbuch], [PU: LAP Lambert Acad. Publ.], Neuware - Induction motors are widely used in present day industries, on account of its ruggedness,low cost and easy speed control.Condit… Mehr…

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Condition Monitoring of Induction Motors - Taschenbuch

2010

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 cert… Mehr…

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Rubenka Bandyopadhyay:
Condition Monitoring of Induction Motors - Taschenbuch

ISBN: 9783838387147

Paperback, [PU: LAP Lambert Academic Publishing], Induction motors are widely used in present day industries, on account of its ruggedness,low cost and easy speed control.Condition monito… Mehr…

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Rubenka Bandyopadhyay:
Condition Monitoring of Induction Motors - Taschenbuch

ISBN: 3838387147

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Details zum Buch
Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors

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: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors


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 (Vienna)
Detailseite zuletzt geändert am 2020-07-24T20:26:07+02:00 (Vienna)
ISBN/EAN: 9783838387147

ISBN - alternative Schreibweisen:
3-8383-8714-7, 978-3-8383-8714-7


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