Title :
A pulse-coupled-multilayer perceptron hybrid neural network for condition monitoring
Author :
Rughooputh, Harry C S ; Rughooputh, Soonil D.
Author_Institution :
Mauritius Univ., Reduit, Mauritius
fDate :
6/21/1905 12:00:00 AM
Abstract :
Studies of the visual cortex of cats highlight the role of temporal processing using synchronous oscillations for object identification. In this paper, a modified Eckhorn pulse coupled neural network model, the Computer-Model Cortex Neural Network, is used as a preprocessor to a neural network classifier for the condition monitoring of power transformers
Keywords :
computerised monitoring; condition monitoring; multilayer perceptrons; power engineering computing; power transformers; Computer-Model Cortex Neural Network; condition monitoring; modified Eckhorn pulse coupled neural network model; neural network classifier preprocessor; power transformers; pulse-coupled-multilayer perceptron hybrid neural network; Artificial neural networks; Brain modeling; Condition monitoring; Fires; Neural networks; Neurons; Oil insulation; Power system modeling; Power transformers; Transfer functions;
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
DOI :
10.1109/AFRCON.1999.821861
