Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks

Details Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks

Apr 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aipc..899..715k&link_type=abstract

SIXTH INTERNATIONAL CONFERENCE OF THE BALKAN PHYSICAL UNION. AIP Conference Proceedings, Volume 899, pp. 715-715 (2007).

Mathematics

Logic

Magnetic Devices, Neural Networks, Fuzzy Logic, Artificial Intelligence

Scientific paper

In this investigation a multi-layer perception with a feed-forward neural network model was used. The input parameters included the outer and inner diameters of the toroidal core, the strip width and thickness o electrical steel, the induction frequency and the peak magnetic flux density. The output parameters were power loss and permeability. Experimental data were collated different combination of core dimensions over 179 samples. A total of 3451 input vectors were available in the training set. The best output results were obtained for models formed by tanh+sig and sig only functions for power loss and permeability respectively. A self-organising feature map neural network model was also formed for sensitivity analysis. The proposed model was in good agreement with experimental data and can be used for estimation of power loss.

Affiliated with

Also associated with

No associations

Rating

Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Power Loss and Permeability Prediction, Sensitivity Analysis on Toroidal Transformer Cores Using Artificial Neural Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1681537