Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks

The paper purpose is to emphasize the possibilities and the advantages to use the artificial intelligence techniques for operating mode prediction of electrotechnical devices. The considered application consists of the analysis of behavior of an inductive proximity sensor at variation of design para...

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Bibliographic Details
Published inJournal of Electrical and Electronics Engineering Vol. 7; no. 1; p. 131
Main Authors Pasca, Alexandra, Micu, Dan Doru, Czumbil, Levente
Format Journal Article
LanguageEnglish
Published Oradea University of Oradea 01.05.2014
Editura Universităţii din Oradea
Subjects
Artificial intelligence
Artificial neural networks
Design parameters
Devices
Electrical engineering
Electronic engineering
Expert systems
Finite element analysis
finite element model
inductive proximity sensor
neural network
Neural networks
Proximity
Sensors
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Summary:The paper purpose is to emphasize the possibilities and the advantages to use the artificial intelligence techniques for operating mode prediction of electrotechnical devices. The considered application consists of the analysis of behavior of an inductive proximity sensor at variation of design parameters.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1844-6035
2067-2128