Condition Monitoring of Induction Motors

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

  • Engelstalig
  • 80 pagina's
  • 9783838387147
  • juli 2010
Alle productspecificaties

Samenvatting

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.

Productspecificaties

Auteur
Rubenka Bandyopadhyay
Taal
Engels
Afmetingen
5x229x152 mm
Gewicht
127,00 gram
Verschijningsdatum
juli 2010
ISBN10
3838387147
ISBN13
9783838387147

Je vindt dit boek in

Categorieën
Verschijningsjaar
2010
Specialisme
Energiebronnen
Verschijningsvorm
Paperback
Uitvoering
Boek

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