IRON LOSSES PREDICTION USING NEURAL NETWORK BASED MAGNETIC MODEL |
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| Marinel Temneanu, Traian Balan, Dana Balan, Octavian Postolache |
- Abstract:
- The possibility to predict the iron losses under nonsinusoidal waveform of magnetic flux density using neural network based magnetic models is analyzed in this paper. Two different types of model structures (predictors with and without feedback) have been used. The predictions are compared to the measured output for different magnetic materials and induction waveforms.
- Keywords:
- iron losses, neural network model
- Download:
- IMEKO-TC4-2001-112.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2001
- Title:
11th IMEKO TC4 Symposium on Trends in Electrical Measurements and Instrumentation (together with 6th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Lisbon, PORTUGAL
- Time:
- 13 September 2001 - 14 September 2001