TY - GEN
T1 - Bushing fault detection and diagnosis using extension neural network
AU - Vilakazi, Christina B.
AU - Marwala, Tshilidzi
PY - 2006
Y1 - 2006
N2 - This paper proposes a Extension Neural Network (ENN) based bushing fault detection and diagnosis. Experimentation is done using Dissolve gas-in-oil analysis (DGA) data from bushings based on IEEEc57.104, IEC599 and IEEE production rates methods for oil impregnated paper (OIP) bushings. The optimal learning rate for ENN is selected using Genetic Algorithm (GA). The classification process is a two stage phase. The first stage is the detection which identifies if the bushing is faulty or normal while the second stage determines the nature of fault. A classification rate of 100% and an average of 99.89% is obtained for the detection and diagnosis stage, respectively. It takes 1.98s and 2.02s to train the ENN for the detection and diagnosis stage, respectively.
AB - This paper proposes a Extension Neural Network (ENN) based bushing fault detection and diagnosis. Experimentation is done using Dissolve gas-in-oil analysis (DGA) data from bushings based on IEEEc57.104, IEC599 and IEEE production rates methods for oil impregnated paper (OIP) bushings. The optimal learning rate for ENN is selected using Genetic Algorithm (GA). The classification process is a two stage phase. The first stage is the detection which identifies if the bushing is faulty or normal while the second stage determines the nature of fault. A classification rate of 100% and an average of 99.89% is obtained for the detection and diagnosis stage, respectively. It takes 1.98s and 2.02s to train the ENN for the detection and diagnosis stage, respectively.
UR - http://www.scopus.com/inward/record.url?scp=34547368134&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34547368134
SN - 0780397088
SN - 9780780397088
T3 - INES 2006: 10th International Conference on Intelligent Engineering Systems 2006
SP - 170
EP - 174
BT - INES 2006
T2 - INES 2006: 10th International Conference on Intelligent Engineering Systems 2006
Y2 - 26 June 2006 through 28 June 2006
ER -