Insulation condition assessment of 11 kV paper cables using neural networks

Arroyo, J. M. R., Beddoes, A. J. and Allinson, Nigel (2001) Insulation condition assessment of 11 kV paper cables using neural networks. IEE Colloquium (Digest) (156). pp. 151-154. ISSN 0963-3308

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive


The insulation condition of 11 kV paper cables was analyzed using self-organizing maps, a type of artificial neural networks. The cable was energized at voltages above its nominal level in order to degrade the cable and obtain the discharge activity at different condition states. This process was repeated several times until a final breakdown on the sample was obtained. The result obtained for all the trained maps confirms that the data obtained before the breakdown came from a fatal condition of the insulation.

Keywords:Data acquisition, Electric cables, Electric power systems, Functions, Maintenance, Partial discharges, Self organizing maps, Vectors, Data space, Euclidean distance (ED), Paper cables, Phase angles, Electric insulation
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G790 Artificial Intelligence not elsewhere classified
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:8578
Deposited On:26 Apr 2013 10:27

Repository Staff Only: item control page