Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Design optimization of switched reluctance machines for performance and reliability enhancements: A review
Switched reluctance machines (SRMs) provide a potential candidate and a feasible solution
with increased interest for industrial applications due to their simple and rigid structure …
with increased interest for industrial applications due to their simple and rigid structure …
A review of electric motors with soft magnetic composite cores for electric drives
Electric motors play a crucial role in modern industrial and domestic applications. With the
trend of more and more electric drives, such as electric vehicles (EVs), the requirements for …
trend of more and more electric drives, such as electric vehicles (EVs), the requirements for …
Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation
Z Siqin, DX Niu, MY Li, T Gao, Y Lu, X Xu - Applied Energy, 2022 - Elsevier
Community energy consumption accounts for a large proportion of total social energy
consumption. Therefore, community integrated energy systems have emerged to satisfy …
consumption. Therefore, community integrated energy systems have emerged to satisfy …
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 …
Surrogate model-based multiobjective optimization of high-speed PM synchronous machine: Construction and comparison
J Gu, W Hua, W Yu, Z Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article employs surrogate models for large-scale high-speed (HS) electrical machine
optimization to reduce heavy computational burden caused by the finite-element method …
optimization to reduce heavy computational burden caused by the finite-element method …
Optimal design of induction motors over driving cycles for electric vehicles
Consideration of the overload (OL) performance of electric machines designed for EVs
enables increasing the power density of the propulsion system. This paper aims to show the …
enables increasing the power density of the propulsion system. This paper aims to show the …
Advancements in flux switching machine optimization: Applications and future prospects
Flux switching machines play a crucial role in emerging sectors such as renewable energy,
electric vehicles, and the aerospace industry. Recent advancements have underscored their …
electric vehicles, and the aerospace industry. Recent advancements have underscored their …
[HTML][HTML] 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 …
Reliability-based robust optimization design for tolerance of aerospace thin-walled components based on surrogate model
D Xue, Y Li, H Zhang, X Tong, B Gao, J Yu - Advanced Engineering …, 2024 - Elsevier
In the manufacturing and assembly of aerospace thin-walled components (ATCs), the
rational optimization of part tolerances is crucial for improving the outer shape assembly …
rational optimization of part tolerances is crucial for improving the outer shape assembly …
Deep learning-based prediction of key performance indicators for electrical machines
V Parekh, D Flore, S Schöps - IEEE Access, 2021 - ieeexplore.ieee.org
The design of an electrical machine can be quantified and evaluated by Key Performance
Indicators (KPIs) such as maximum torque, critical field strength, costs of active parts, sound …
Indicators (KPIs) such as maximum torque, critical field strength, costs of active parts, sound …