Single Sensor-Based Fault Localization and Detection in GaN Three-Phase Dual Active Bridge Converters
Bibliographic record
Abstract
This paper presents a novel approach for single-switch fault detection and localization in three-phase dual active bridge (DAB) converters. The proposed control scheme leverages an existing current sense resistor that is typically used for output current regulation, to extract the necessary αβ parameters for detecting and localizing open-circuit faults (OCFs). Additionally, secondary-side short-circuit faults (SCFs) are detected and localized without the need for additional sensors. Simulated results demonstrate successful detection and localization of both OCFs and SCFs during 400V operation. The proposed method is validated on a 400V, 6.6kW liquid-cooled converter equipped with 650V GaN devices, operating at a switching frequency of 300 kHz and achieving a peak efficiency of 96.6% at 6.5 kW. Experimental results confirm the successful detection and localization of single-switch OCFs within four switching cycles.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".