Title :
A qualitative assessment of the insulation systems of medium voltage induction motors
Author :
John, P.M. ; de Kock, J.A. ; Wolmerans, A.D.W.
Author_Institution :
North-West Univ., Potchefstroom
Abstract :
The research was an attempt to understand the condition of the insulation system and to classify the data according to its condition. Data mining processes was used to create a model to gain insight into the data and the condition of the insulation system. An analysis was done using self-organizing maps. The model thus created was compared to the expert´s assessment. The patterns in the different features of the model due to ageing were observed and classified. The model correlated well with the expert´s opinion. New data was qualitatively assessed and classified according to the deterioration of the insulation system using the model.
Keywords :
data mining; electric machine analysis computing; induction motors; machine insulation; self-organising feature maps; data mining processes; insulation systems; medium voltage induction motors; self-organizing maps; Africa; Data analysis; Data engineering; Data mining; Dielectrics and electrical insulation; Failure analysis; Induction motors; Insulation testing; Medium voltage; System testing; Motor Insulation tests; assessment of insulation systems; tan delta tests;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2