Solid-State Circuit Breaker Technologies – Advanced Protection and Control Capabilities for Forest Products Applications
Bibliographic record
Abstract
The emerging use of solid-state molded case circuit breakers, in industrial applications, marks a significant advancement in electrical control, safety, and digital power management. Compared to similar solid-state devices, new semiconductor technologies, along with various control developments and protection algorithms, metering capabilities and other enhancements, are making solid-state circuit breakers a valuable new digital control and protection tool for industrial users. As solid-state molded case circuit breakers continue to go through the typical evolutionary changes associated with any new technologies, the emergence of additional control and protection elements will be even more advantageous to industrial users. These include the SSC8's ability to be rapidly and remotely reset or re-enabled, the ability to collect load condition monitoring data, along with the reduction of dangerous arc flash incident energies. These new generation devices also provide abundant access to accurate and precise metering data along with more sophisticated load monitoring capabilities, including the ability to regulate or soft start connected loads. These innovative devices leverage the latest in semiconductor technologies to provide more precise and rapid control of electrical loads, enabling unprecedented levels of customization, automation, monitoring, safety, and protection within the digital power environments of progressive forest products businesses.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".