Engineering of Coupled Simulation Models for Mechatronic Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00239949" target="_blank" >RIV/68407700:21230/15:00239949 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/15:00239949

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-15159-5_1" target="_blank" >http://dx.doi.org/10.1007/978-3-319-15159-5_1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-15159-5_1" target="_blank" >10.1007/978-3-319-15159-5_1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Engineering of Coupled Simulation Models for Mechatronic Systems

Popis výsledku v původním jazyce

Simulation models play a crucial role in testing and fine-tuning of control systems for complex industrial systems. They are important parts of the sustainable, service-oriented manufacturing value chain by facilitating early and efficient defect detection and risk mitigation. However, the design phase of simulation models is time-consuming and error-prone, thus it should be improved to become more efficient. The design of simulation models for mechatronic systems has to cope with two basic challenges:(1) the heterogeneous nature of mechatronic systems, which are described with various overlapping engineering plans, and (2) the separation of monolithic simulations into distributed simulation modules, to better conquer the computational complexity of simulation models. This paper addresses both challenges: (a) we propose an application of semantic integration and linked data for sharing and capturing knowledge for simulation model design between various engineering plans; (b) we explai

Název v anglickém jazyce

Engineering of Coupled Simulation Models for Mechatronic Systems

Popis výsledku anglicky

Simulation models play a crucial role in testing and fine-tuning of control systems for complex industrial systems. They are important parts of the sustainable, service-oriented manufacturing value chain by facilitating early and efficient defect detection and risk mitigation. However, the design phase of simulation models is time-consuming and error-prone, thus it should be improved to become more efficient. The design of simulation models for mechatronic systems has to cope with two basic challenges:(1) the heterogeneous nature of mechatronic systems, which are described with various overlapping engineering plans, and (2) the separation of monolithic simulations into distributed simulation modules, to better conquer the computational complexity of simulation models. This paper addresses both challenges: (a) we propose an application of semantic integration and linked data for sharing and capturing knowledge for simulation model design between various engineering plans; (b) we explai

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Studies in Computational Intelligence - Service Orientation in Holonic and Multi-agent Manufacturing

ISSN

1860-949X

e-ISSN

—

Svazek periodika

594

Číslo periodika v rámci svazku

february

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

9

Strana od-do

3-11

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84923126500