Machine learning for design optimization of electromagnetic devices: Recent developments and future directions
This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …
electromagnetic devices, with a focus on machine learning methods. First, the recent …
Design and optimization technologies of permanent magnet machines and drive systems based on digital twin model
One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower
machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising …
machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising …
Robust design optimization of electrical machines: Multi-objective approach
This article presents a new method for multi-objective robust design optimization of electrical
machines and provides a detailed comparison with so far introduced techniques. First, two …
machines and provides a detailed comparison with so far introduced techniques. First, two …
Robust design of an outer rotor permanent magnet motor through six-sigma methodology using response surface surrogate model
There is always uncertainty in industrial manufacturing. These uncertainties have an
undesirable impact on the products if deterministic optimization approaches are employed …
undesirable impact on the products if deterministic optimization approaches are employed …
Robust design optimization of electrical machines: A comparative study and space reduction strategy
This article presents a comparative study on different types of robust design optimization
methods for electrical machines. Three robust design approaches, Taguchi parameter …
methods for electrical machines. Three robust design approaches, Taguchi parameter …
Robust tolerance design optimization of a PM claw pole motor with soft magnetic composite cores
In the past decades, various methods have been investigated for assessing performance
variation and robust optimization for electromagnetic device design under uncertainties …
variation and robust optimization for electromagnetic device design under uncertainties …
Multi-objective optimal design of bearingless switched reluctance motor based on multi-objective genetic particle swarm optimizer
J Zhang, H Wang, L Chen, C Tan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In recent decades, bearingless switched reluctance motors (BSRMs) have been proposed.
However, few researchers focused on the optimal design of the BSRMs. In this paper, the …
However, few researchers focused on the optimal design of the BSRMs. In this paper, the …
More robust and reliable optimized energy conversion facilitated through electric machines, power electronics and drives, and their control: State-of-the-art and trends
According to the special section entitledRobust design and analysis of electric machines
and drives', to be published in IEEE Transactions on Energy Conversion, the authors …
and drives', to be published in IEEE Transactions on Energy Conversion, the authors …
Optimizing electricity mix for CO2 emissions reduction: A robust input-output linear programming model
Abstract Input-Output Linear Programming (IO-LP) model has been recently used to identify
a cost-effective strategy for reduction in economy-wide CO2 emissions through a shift in the …
a cost-effective strategy for reduction in economy-wide CO2 emissions through a shift in the …
Multi-objective yield optimization for electrical machines using Gaussian processes to learn faulty design
MC Huber, M Fuhrländer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work deals with the design optimization of electrical machines under the consideration
of manufacturing uncertainties. In order to efficiently quantify the uncertainty, a hybrid Gauss …
of manufacturing uncertainties. In order to efficiently quantify the uncertainty, a hybrid Gauss …