Digital twins-based smart manufacturing system design in Industry 4.0: A review

J Leng, D Wang, W Shen, X Li, Q Liu, X Chen - Journal of manufacturing …, 2021 - Elsevier
A smart manufacturing system (SMS) is a multi-field physical system with complex couplings
among various components. Usually, designers in various fields can only design …

[HTML][HTML] Digital twin in electrical machine control and predictive maintenance: State-of-the-art and future prospects

G Falekas, A Karlis - Energies, 2021 - mdpi.com
State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on
employing Artificial Intelligence (AI) methods with well-established measurement and …

[HTML][HTML] An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells

A Singh, A Sharma, S Rajput, A Bose, X Hu - Electronics, 2022 - mdpi.com
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Machine learning for design optimization of electromagnetic devices: Recent developments and future directions

Y Li, G Lei, G Bramerdorfer, S Peng, X Sun, J Zhu - Applied Sciences, 2021 - mdpi.com
This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …

Evaluation of 3D-printed magnetic materials for additively-manufactured electrical machines

A Selema, M Beretta, M Van Coppenolle… - Journal of Magnetism …, 2023 - Elsevier
Nowadays, going beyond the 2D conventionally laminated structures is essential for
improving the functionality of an electrical machine during the design process. Additive …

A novel application of improved marine predators algorithm and particle swarm optimization for solving the ORPD problem

MAM Shaheen, D Yousri, A Fathy, HM Hasanien… - Energies, 2020 - mdpi.com
The appropriate planning of electric power systems has a significant effect on the economic
situation of countries. For the protection and reliability of the power system, the optimal …

[HTML][HTML] AC magnetic loss reduction of SLM processed Fe-Si for additive manufacturing of electrical machines

H Tiismus, A Kallaste, A Belahcen, M Tarraste… - Energies, 2021 - mdpi.com
Additively manufactured soft magnetic Fe-3.7% wt Si toroidal samples with solid and novel
partitioned cross-sectional geometries are characterized through magnetic measurements …

[PDF][PDF] RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

D Coppitters, P Tsirikoglou, W De Paepe… - Journal of Open …, 2022 - joss.theoj.org
Climate change is a constant call for the massive deployment of intermittent renewable
energy sources, such as solar and wind. However, to cover the energy demand at all times …

A review of data-driven surrogate models for design optimization of electric motors

M Cheng, X Zhao, M Dhimish, W Qiu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Electric motor is one of the core components of electronic propulsion systems and play an
essential role in the industry. The optimal design of an electric motor poses a complex …

[HTML][HTML] The key role of 3D printing technologies in the further development of electrical machines

L Szabó, D Fodor - Machines, 2022 - mdpi.com
There is a strong general demand for the permanent improvement of electrical machines.
Nowadays, these are at their near maximum potential, and even small further improvements …