[PDF.67xa] Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors
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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
[PDF.tt09] Condition Monitoring of Induction Motors: Use of Artificial Neural Networks in fault diagnosis, by analysis of data collected from vibration and current sensors
Condition Monitoring of Induction Rubenka Bandyopadhyay epub Condition Monitoring of Induction Rubenka Bandyopadhyay pdf download Condition Monitoring of Induction Rubenka Bandyopadhyay pdf file Condition Monitoring of Induction Rubenka Bandyopadhyay audiobook Condition Monitoring of Induction Rubenka Bandyopadhyay book review Condition Monitoring of Induction Rubenka Bandyopadhyay summary
| #8313797 in Books | 2010-07-22 | Original language:English | PDF # 1 | 8.66 x.19 x5.91l,.28 | File type: PDF | 80 pages||About the Author|B.Tech(Electrical Engineering):Netaji Subhash Engineering College, Kolkata, India. Graduate Student -Duke University, USA. Area of interest: Signal Processing.
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 c...
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