Autors: KOLEV,N., CHALASHKANOV,N.
Title: Discrimination between Partial Discharge Pulses in Voids using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Keywords: Partial discharge, pattern classification, ANFIS, discrimina

Abstract: A novel method for partial discharge (PD) pattern classification is proposed based on adaptive neuro-fuzzy inference system (ANFIS). It is used for classification of partial discharges signals occurring in internal voids. Three different void shapes are considered in this work, namely flat void, square void and narrow void. The initial input feature vector, used for the classification is based on 15 statistical parameters. These parameters characterize fully the PD signals. The structure of the ANFIS classifier is thoroughly described. Afterwards, discriminant analysis is implemented to reduce the dimension of the feature vector. Therefore, the complexity of the ANFIS structure is reduced and classifier performance improved. Also, assessments of the classifiers are presented.

References

    Issue

    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 15-19, 2008, Croatia,

    Вид: публикация в национален форум