Title :
Transformer insulation diagnosis based on improved ANN analysis
Author :
Tu, Y.M. ; Huang, J.M. ; Gao, N. ; Zhu, Z.S. ; Yan, Z.
Author_Institution :
Xi´´an Jiaotong Univ., China
Abstract :
Using Artificial Neural Network (ANN) for Dissolved Gas Analysis (DGA) of transformer insulation will be more accurate than the methods used before. The accuracy and rate of ANN analysis had been improved further by using multi-subdivided ANNs and biological nerves
Keywords :
chemical analysis; insulation testing; neural nets; power transformer insulation; power transformer testing; ANN; biological nerves; dissolved gas analysis; transformer insulation diagnosis; Artificial neural networks; Diagnostic expert systems; Dissolved gas analysis; Fault diagnosis; Fuzzy logic; IEC; Information analysis; Oil insulation; Power transformer insulation; Power transformers;
Conference_Titel :
Properties and Applications of Dielectric Materials, 1997., Proceedings of the 5th International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7803-2651-2
DOI :
10.1109/ICPADM.1997.617578
