Robust Design Optimization of Electrical Machines and Devices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43967101" target="_blank" >RIV/49777513:23220/22:43967101 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2079-9292/11/9/1427" target="_blank" >https://www.mdpi.com/2079-9292/11/9/1427</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/electronics11091427" target="_blank" >10.3390/electronics11091427</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Robust Design Optimization of Electrical Machines and Devices

Popis výsledku v původním jazyce

The article introduces a Special Issue (SI) of the journal Electronica that contains fourteen chosen articles from robust design optimization of electrical machines and devices. Optimization is essential for the research and design of electro-mechanical devices, especially electrical machines. Finding the optimal solutions may lead to cheaper, more economical products, faster and more efficient production, or more sustainable solutions. However, optimizing such a complex system as an electrical machine is a computationally expensive optimization problem, where many physical domains should be considered together. Practical design needs to consider the electrical device’s design parameters; it should be insensitive to parameter changes or manufacturing tolerances. This Special Issue focused on papers showing how modern artificial intelligence (AI) tools can be used for robust design optimization of electric machines and electrical devices, how these tools can be tested, or the correctness of the result validated.

Název v anglickém jazyce

Robust Design Optimization of Electrical Machines and Devices

Popis výsledku anglicky

The article introduces a Special Issue (SI) of the journal Electronica that contains fourteen chosen articles from robust design optimization of electrical machines and devices. Optimization is essential for the research and design of electro-mechanical devices, especially electrical machines. Finding the optimal solutions may lead to cheaper, more economical products, faster and more efficient production, or more sustainable solutions. However, optimizing such a complex system as an electrical machine is a computationally expensive optimization problem, where many physical domains should be considered together. Practical design needs to consider the electrical device’s design parameters; it should be insensitive to parameter changes or manufacturing tolerances. This Special Issue focused on papers showing how modern artificial intelligence (AI) tools can be used for robust design optimization of electric machines and electrical devices, how these tools can be tested, or the correctness of the result validated.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Electronics

ISSN

2079-9292

e-ISSN

2079-9292

Svazek periodika

11

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

4

Strana od-do

1-4

Kód UT WoS článku

000796186700001

EID výsledku v databázi Scopus

2-s2.0-85129160582