Artificial Neural Network Applied for Detecting the Saturation Level in the Magnetic Core of a Welding Transformer
None
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2011
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/14735 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Artificial Neural Network Applied for Detecting the Saturation Level in the Magnetic Core of a Welding Transformer
- Magnetically Nonlinear Dynamic Models of Synchronous Machines: Their Derivation, Parameters and Applications
- Linearization of Radial Force Characteristic of Active Magnetic Bearings Using Finite Element Method and Differential Evolution
- Diluted Magnetic Semiconductors Nanocrystals: Saturation and Modulation
- New IM Torque Control Scheme with Improved Efficiency and Implicit Rotor Flux Tracking
- Nonlinear Magnetics Model for Permanent Magnet Synchronous Machines Capturing Saturation and Temperature Effects
- Artificial Intelligence Methods Applied to the In-Core Nuclear Fuel Management Optimization