Power Equipment Technical State Assessment Principles

Power Equipment Technical State Assessment Principles

This article is devoted to the principles of power equipment technical state assessment at 35-220 kV substations. The article deals with the network hybrid model construction using methods of fuzzy logic and artificial neural network. Finally, in order to construct the knowledge base, a methodology...

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Veröffentlicht in:Applied Mechanics and Materials 2014-01, Vol.492 (Power and Energy Systems III), p.531-535
Hauptverfasser: Khalyasmaa, Alexandra I., Dmitriev, Stepan A.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial neural networks
Assessments
Construction equipment
Fuzzy logic
Knowledge
Mathematical models
Networks
Substations
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Zusammenfassung:This article is devoted to the principles of power equipment technical state assessment at 35-220 kV substations. The article deals with the network hybrid model construction using methods of fuzzy logic and artificial neural network. Finally, in order to construct the knowledge base, a methodology of the power equipment technical state assessment, based on the membership functions, is introduced.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.492.531