A synergetic neural network-genetic scheme for optimal transformer construction

Integrated Computer-Aided Engineering

Volumn 9, Issue 1, 2002, Pages 37-56

  Doulamis, Nikolaos D ^a   Doulamis, Anastasios D ^a   Georgilakis, Pavlos S ^a   Kollias, Stefanos D ^a   Hatziargyriou, Nikos D ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EDDY CURRENTS; ELECTRIC LOSSES; ELECTRIC TRANSFORMERS; GENETIC ALGORITHMS; HYSTERESIS;

IRON LOSSES;

NEURAL NETWORKS;

EID: 0036143207     PISSN: 10692509     EISSN: None     Source Type: Journal    
DOI: 10.3233/ica-2002-9103     Document Type: Article

References (28)

1. On line retrainable neural networks: Improving the performance of neural networks in image analysis problems
2. Large signal nonlinear model of anisotropic transformers for nonsinusorial operation; Part II: Magnetizing and core-loss currents
3. Prediction of iron losses of wound core distribution transformers based on artificial neural networks
4. A neural network framework for predicting transformer core losses
5. Performance parameters on power transformers using 3D magnetic field calculations
6. Quality improvement of individual cores of distribution transformers using decision trees
7. An adaptive least squares algorithm for the efficient training of artificial neural networks
8. An equivalent magnetization surface current approach of calculation 3D-leakage fields of a transformer
9. Increasing distribution transformer efficiency: Potential for energy savings
10. Calculation of spatial loss distribution in stacked power and distribution transformer cores
11. Neural networks, principal components and subspaces
12. Three phase transformer modelling for fast electromagnetic transients
13. Estimation of magnetic material for individual transformers cores