Failure modes and remedies of a solid-state low voltage DC circuit breaker through 3,000,000＋ operation cycles
Bibliographic record
Abstract
This paper reports and analyzes the failure modes of a 1.2 kV low voltage (LV) solid-state dc circuit breaker (DCCB) over 3,000,000＋ opening operations. The motivation of this work is to study the assembly and component reliability of such a DCCB with real-world operational stress. To achieve the goal, accelerated DCCB operation tests are performed. After a comprehensive review of the test records and examination of the DCCB components, a total of five failure modes and three operational issues are identified. The natures of the failures and issues span from electrical design and mechanical structure to thermal management and cybersecurity. With each corresponding remedy being implemented, failures and issues are effectively addressed. To the best of the authors’ knowledge, this work is the first to publish results from DCCB that achieved 3,000,000＋ operations, providing meaningful references to improve solid-state DCCB design for LVDC applications.
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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".