Logo

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.

[img] PDF
Restricted to Registered users only

113Kb

Abstract

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
ID Code:2639
Deposited By: Assoc Prof Dr K. S. Rama Rao
Deposited On:28 Jul 2010 08:06
Last Modified:19 Jan 2017 08:26

Repository Staff Only: item control page

Document Downloads

More statistics for this item...