TY - GEN
T1 - Fuzzy and multilayer perceptron for evaluation of HV bushings
AU - Dhlamini, Sizwe M.
AU - Marwala, Tshilidzi
AU - Majozi, Thokozani
PY - 2007
Y1 - 2007
N2 - The work proposes the application of fuzzy set theory (FST) to diagnose the condition of high voltage bushings. The diagnosis uses dissolved gas analysis (DGA) data from bushings based on IEC60599 and IEEE C57-104 criteria for oil impregnated paper (OIP) bushings. FST and neural networks are compared in terms of accuracy and computational efficiency. Both FST and NN simulations were able to diagnose the bushings condition with 10% error. By using fuzzy theory, the maintenance department can classify bushings and know the extent of degradation in the component.
AB - The work proposes the application of fuzzy set theory (FST) to diagnose the condition of high voltage bushings. The diagnosis uses dissolved gas analysis (DGA) data from bushings based on IEC60599 and IEEE C57-104 criteria for oil impregnated paper (OIP) bushings. FST and neural networks are compared in terms of accuracy and computational efficiency. Both FST and NN simulations were able to diagnose the bushings condition with 10% error. By using fuzzy theory, the maintenance department can classify bushings and know the extent of degradation in the component.
UR - http://www.scopus.com/inward/record.url?scp=34548134447&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2006.384900
DO - 10.1109/ICSMC.2006.384900
M3 - Conference contribution
AN - SCOPUS:34548134447
SN - 1424401003
SN - 9781424401000
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1331
EP - 1336
BT - 2006 IEEE International Conference on Systems, Man and Cybernetics
T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 8 October 2006 through 11 October 2006
ER -