Neural Networks based fault diagnosis of ac motors

K.S., Rama Rao and Muhammad, Aariff Yahya (2008) Neural Networks based fault diagnosis of ac motors. In: IEEE International Symposium on Information Technology 2008, ITSIM 2008, 26-28 Aug 2008, Kuala Lumpur, Malaysia.

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This paper presents an Artificial Neural Network
(ANN) technique to recognize the incipient faults of an
AC motor such as a synchronous motor. The proposed
ANN-based fault detector is developed using the
Resilient Error Back Propagation (RPROP) training
algorithm. The fast and reliable method for multilayer
neural networks converges much faster than the
conventional back propagation algorithm. The main
causes to diagnose three major faults are investigated
and validated by adopting feed-forward back
propagation neural networks.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Faults, AC motors, Artificial Neural Networks, Resilient Error Propagation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Assoc Prof Dr K. S. Rama Rao
Date Deposited: 28 Jul 2010 08:06
Last Modified: 19 Jan 2017 08:26

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