A Fault Compensation Scheme for Cascaded H-Bridge Inverter With Reduced Common Mode Voltage
Bibliographic record
Abstract
In this article, a common mode voltage (CMV) injection method is proposed to tolerate cell failure for cascaded H-bridge (CHB) inverters. The main purpose of CMV injection is to balance the unequal line-to-line voltages of the inverter without overmodulation when the faulty cells are bypassed. As any injected CMV can interfere with load and inverter proper operation, the proposed fault-tolerant method aims to reduce the peak value and the fundamental harmonic of the injected CMV to minimize its impact on the load and inverter functionality. Also, the proposed method provides features such as simplicity, maximum possible line-to-line voltage, fast real-time calculations, and supporting all faulty cases. The proposed method is evaluated by simulation and experimental results obtained from an 11-level CHB converter.
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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 | 0.001 |
| 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".