Experimental Realization of Microcontroller Based Programmable Miniature Cost Effective Circuit Breaker
Bibliographic record
Abstract
Miniature circuit breaker (MCB) is an electrical protection equipment. Generally it is used in households as an over current circuit breaker to ensure safety from electrical hazards like outrageous fire accidents arising from electrical short circuit. These kinds of electrical hazards occur because the amperage of these circuit breakers are fixed and we cannot change the tripping current anytime to endure the newly added or removed electrical loads. This paper reports the experimental realization of a numerical overcurrent relay using, primarily, a microcontroller and a micro current transformer (CT) which is compatible with smart grid technology and high voltage system like electric vehicle. In this newly designed numerical over current relay (NOCR) the user can change the set current and the sensitivity of the system just by twisting two different knobs. Thus this system ensures advance security against electrical hazards than a normal MCB. It will obtain, trial and covert analog current signals hooked on digital form of a power system in real time. Solid state switch (MOSFET switch) has been opted as circuit breaker in order to enhance system effectivity. This newly designed system can detect a fault or over current with 100% accuracy and the operating time (OT) calculated by this relay is 99.57% responsive to the theoretical calculation. All the components used to assemble this system are off the shelf; hence engender an economic and portable over current relay than any other commercially available system.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".