Fuzzy Neural Networks’ Application For
Substation Integral State Assessment
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.
Related Book
Other papers in this volume
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