WIT Press


Fuzzy Neural Networks’ Application For Substation Integral State Assessment

Price

Free (open access)

Paper DOI

10.2495/EQ140581

Volume

190

Pages

7

Page Range

599 - 605

Published

2014

Size

419 kb

Author(s)

A. I. Khalyasmaa, S. A. Dmitriev, S . E . K okin & S. A. Eroshenko

Abstract

This paper addresses the problems connected with fuzzy neural networks’ application in equipment technical state assessment problems at electrical substations. This paper discusses the main principles of fuzzy neural network formation and its construction algorithm. Also, the case study for the determination of fuzzy neural network synaptic weights for the unit \“disconnectorˮ on the basis of technical diagnostic statistical data and tests is presented. Keywords: fuzzy neural networks, technical state assessment, Enterprise Asset Management Systems, electrical substations, synaptic weights.

Keywords

fuzzy neural networks, technical state assessment, Enterprise Asset Management Systems, electrical substations, synaptic weights.