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HAMMER, M. ŘÍHA, Z. LATINA, P.
Original Title
LIFETIME PREDICTION OF INSULATING MATERIALS BY FUZZY-NEURAL NETWORKS AND EXPERT SYSTEMS
Type
conference paper
Language
English
Original Abstract
The paper deals with searching for new methods of diagnostics and lifetime prediction of insulating materials of electric rotary machines windings. The subject of the diagnostics is to specify the condition of insulation used. In this time, the most popular diagnostics tools are the methods of artificial intelligence like expert systems and fuzzy neural networks. In our research we are using expert system for diagnostics of insulating material and fuzzy neural network for lifetime prediction of this material. Input of those systems is Bv (activation energy) which was obtained by non-destructive measurement method. The determination of this quantity is the main prerequisite for the determination of output coefficient Up (breakdown voltage) characterizing the lifetime of the insulating system and, consequently, the whole electric machine.
Keywords
Neural Networks, Expert Systems, Diagnostics, Insulating Material, Artificial Intelligence
Authors
HAMMER, M.; ŘÍHA, Z.; LATINA, P.
RIV year
2005
Released
6. 9. 2005
Publisher
University of Salerno
Location
Fisciano, Italy
ISBN
88-87030-96-0
Book
ICPR-18
Pages from
-
Pages to
Pages count
4