Název:	Robust Design Optimization of Electrical Machines and Devices
Autoři:	Orosz, Tamás Pánek, David Rassölkin, Anton Kuczmann, Miklos
Citace zdrojového dokumentu:	OROSZ, T. PÁNEK, D. RASSÖLKIN, A. KUCZMANN, M. Robust Design Optimization of Electrical Machines and Devices . Electronics, 2022, roč. 11, č. 9, s. 1-4. ISSN: 2079-9292
Datum vydání:	2022
Nakladatel:	MDPI
Typ dokumentu:	článek article
URI:	2-s2.0-85129160582 http://hdl.handle.net/11025/51483
ISSN:	2079-9292
Klíčová slova v dalším jazyce:	robust design;optimization;electric machines;electro-mechanical devices
Abstrakt v dalším 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.
Práva:	© authors
Vyskytuje se v kolekcích:	Články / Articles (RICE) Články / Articles (KEP) OBD

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