Nonlinear modeling of laboratory model AMIRA DR300 by recurrent neural network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866546" target="_blank" >RIV/70883521:28140/11:43866546 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Nonlinear modeling of laboratory model AMIRA DR300 by recurrent neural network
Original language description
Purpose of this paper is to design a nonlinear recurrent neural network model of a laboratory device AMIRA DR300 made by a company AMIRA in Germany. This apparatus consists of two direct-current engines, whose shafts are connected together by a fixed shaft coupling. A shaft coupling rotation speed is an output value of this laboratory model and it is possible to measure it either by a tachometer generator or an incremental position sensor. Recurrent neural network was trained to achieve similar properties to the first engine which is called as motor. The second engine can be used as a generator of a faulty measured value.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity"
ISBN
978-3-901509-83-4
ISSN
1726-9679
e-ISSN
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Number of pages
2
Pages from-to
667-668
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Vienna
Event date
Nov 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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