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Condition Monitoring of Induction Motors - Rubenka Bandyopadhyay
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Condition Monitoring of Induction Motors - neues Buch

2010, ISBN: 9783838387147

ID: 692084640

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. Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 30.07.2010, LAP Lambert Academic Publishing, .201

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Condition Monitoring of Induction Motors - Rubenka Bandyopadhyay
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ISBN: 9783838387147

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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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8383-8714-7, LAP Lambert Academic Publishing

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Condition Monitoring of Induction Motors - Rubenka Bandyopadhyay
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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. Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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2010, ISBN: 3838387147

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[EAN: 9783838387147], Neubuch, [PU: LAP Lambert Acad. Publ. Jul 2010], This item is printed on demand - Print on Demand Neuware - 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

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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 - Taschenbuch

2010, ISBN: 3838387147

[SR: 7167627], Paperback, [EAN: 9783838387147], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], 2010-07-22, LAP LAMBERT Academic Publishing, Induction motors are widely used in present day industries, on account of its ruggedness, low cost a...., 922290, Electrical Engineering, 278150, Electrical, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278429, Electromagnetism, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 571500, Electrical Engineering, 564346, Engineering, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Details zum Buch
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.

Detailangaben zum Buch - Condition Monitoring of Induction Motors


EAN (ISBN-13): 9783838387147
ISBN (ISBN-10): 3838387147
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: LAP Lambert Acad. Publ.
80 Seiten
Gewicht: 0,136 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 09.12.2009 06:40:20
Buch zuletzt gefunden am 06.12.2016 11:59:09
ISBN/EAN: 9783838387147

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


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