A New Approach for the Failure Detection and the Self-healing Process in A Solar-based Tap Changing Transformer
Bibliographic record
Abstract
In this paper, a new approach for the self-healing process of the on-load tap-changer (OLTC) is proposed. The proposed circuit detects the failed power switch and enables the system to continue operation by using a series relay to disconnect the failed switch from the circuit. When the tap is moving from one level to the other, during this time the failure detection approach checks all power switches. The detection process is based on the tap voltage measurement while all gate signals of power switches are off. If the tap voltage during this time is not less than a certain voltage value, it means one switch fails. Then, the failed switch removes from the circuit via a series relay, and the substitute TRIAC replace the failed one. This removes any possible interruption in the voltage of the load. Also, the presented method is easy to implement, cost-effective and utilizes fewer components. An EMT simulation is performed to examine the effectiveness and robustness of the proposed circuit and methods.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".