Effect of contamination and relative humidity on the function of thyristor voltage monitoring board
Bibliographic record
Abstract
Abstract In recent years, shutdown accidents caused by thyristor voltage monitoring (TVM) board failure have occurred several times in converter stations. With the increase of operation time, the working reliability problem of TVM board becomes a challenge to the safe operation. This paper studies the effects of pollution severity and relative humidity ( RH ) on the function of TVM board. The results show that the increase of RH can lead to the advance or even disappearance of check‐back signals. Furthermore, the increase of pollution severity can decrease the failure RH threshold. Through simulation and equivalent experiment, it is verified that the resistance decrease of the voltage balancing resistor under the combined effect of contamination and RH is the main reason for the advance of check‐back signals. According to the experiments, it is found that the upper surface contamination has a greater effect on the function of TVM board than the lower surface contamination, resulting in more decrease of the failure RH threshold. In addition, leakage current at different RH is also measured. Results show that the pulse peak of leakage current is closely related to check‐back signals. When the pulse peak is too small or disappears, check‐back signals also disappear, indicating that the TVM board fails.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".