A Generalized Prandtl–Ishlinskii Model for Hysteresis Modeling in Electromagnetic Devices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The cores of several types of electromagnetic devices (EMDs) experience a time-varying magnetic field. Thus, the hysteresis phenomenon can be observed between flux density and magnetic field strength. Hysteresis loop in magnetic material represents the core losses in the material core. Thus, a number of hysteresis models have been developed in the literature for core loss calculations in EMDs. In 2009, the Generalized Prandtl-Ishlinskii (GPI) hysteresis model was developed for the characterization of nonlinearities in smart material-based actuators. The GPI model has shown highly competent features compared with other hysteresis models. Therefore, this paper introduces the GPI model as an efficient hysteresis model for core loss estimation in magnetic cores and efficiency prediction in EMDs. The proposed hysteresis model is constructed with envelope functions and rate-dependent play operators. The envelope functions develop the Prandtl-Ishlinskii (PI) model to characterize hysteresis loops with saturation, while the rate-dependent thresholds support modeling of frequency-dependent hysteresis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it