A Neural Approach for Determination of Preisach Model Parameters Under a Sinusoidal Induction at Various Frequencies
Research output: Contribution to journal › Article
Authors
Colleges, School and Institutes
Abstract
In this paper, we present a neural network-based approach, which allows us to predict the hysteretic loop, whatever the value of the frequency and flux density. The approach makes use of the Preisach-hysteretic model (PM) which provides a mathematical model to the B(H) curve, while the neural enables us to identify and predict the behaviour of parameters that the PM needs. (c) 2005 Elsevier B.V. All rights reserved.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 106-110 |
| Number of pages | 5 |
| Journal | Physica B - Physics of Condensed Matter |
| Volume | 372 |
| Issue number | 1-2 |
| Publication status | Published - 1 Feb 2006 |
Keywords
- magnetic losses, hysteresis, neural network, Preisach model