Cargando…
A performance-oriented power transformer design methodology using multi-objective evolutionary optimization
Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transfo...
Autores principales: | Adly, Amr A., Abd-El-Hafiz, Salwa K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522543/ https://www.ncbi.nlm.nih.gov/pubmed/26257939 http://dx.doi.org/10.1016/j.jare.2014.08.003 |
Ejemplares similares
-
Efficient modeling of vector hysteresis using a novel Hopfield neural network implementation of Stoner–Wohlfarth-like operators
por: Adly, Amr A., et al.
Publicado: (2013) -
Utilizing neural networks in magnetic media modeling and field computation: A review
por: Adly, Amr A., et al.
Publicado: (2014) -
Bayesian optimization for goal-oriented multi-objective inverse material design
por: Hanaoka, Kyohei
Publicado: (2021) -
Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters
por: Wu, Tong, et al.
Publicado: (2021) -
Recent advances in evolutionary multi-objective optimization
por: Bechikh, Slim, et al.
Publicado: (2017)