Condition monitoring of 11 KV paper insulated cables using self-organising maps

Arroyo, J. M. and Beddoes, A. J. and Allinson, Nigel (2001) Condition monitoring of 11 KV paper insulated cables using self-organising maps. In: Canadian Conference on Electrical and Computer Engineering, 13-16 May 2001, Toronto, Canada.

Full content URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

This paper concerns the feasibility of using Self-Organising Feature Maps for the insulation assessment of paper insulated cables. This class of neural networks is able to isolate different clusters within the discharge activity obtained throughout a degradation process. However, once trained, they are incapable of identifying novel states in the insulation of the sample. As a possible solution of this problem, the authors present a variation of the SOM based on the expansion of the trained map. With this modification, SOM can be used for the condition monitoring of the cables and the prediction of incipient faults.

Keywords:Electric insulating materials, Mathematical models, Neural networks, Paper, Self organizing maps, Paper insulated cables, Electric cables, Insulating Papers
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:8580
Deposited On:17 Apr 2013 14:26

Repository Staff Only: item control page