Title :
Modelling of Partial Discharge Inception and Extinction Voltages Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Author :
Kolev, N.P. ; Chalashkanov, N.M.
Author_Institution :
Tech. Univ. of Sofia, Sofia
Abstract :
In this paper is presented an adaptive neuro- fuzzy inference system (ANFIS) that is used for modeling of partial discharge inception and extinction voltages. The ANFIS structure is automatically generated and tuned in order to fit the available measurement data. As inputs of the adaptive neural network are used dielectric thickness, void depth and void diameter. The voids in the solid insulating materials are artificially created. Finally, estimation of the model error is given.
Keywords :
electrical engineering computing; fuzzy neural nets; insulating materials; partial discharges; voids (solid); adaptive neural network; adaptive neuro-fuzzy inference system; dielectric thickness; extinction voltages; partial discharge inception; solid insulating materials; void depth; void diameter; Adaptive systems; Artificial neural networks; Dielectric materials; Dielectric measurements; Dielectrics and electrical insulation; Fuzzy systems; Partial discharge measurement; Partial discharges; Solids; Voltage;
Conference_Titel :
Solid Dielectrics, 2007. ICSD '07. IEEE International Conference on
Conference_Location :
Winchester
Print_ISBN :
1-4244-0750-8
Electronic_ISBN :
1-4244-0751-6
DOI :
10.1109/ICSD.2007.4290886
