Designing an electrical system by using a variable frequency drive to replace a generator in an electrical winch for construction
Bibliographic record
Abstract
The need for a lack of three-phase energy for the operation of an electric winch that is used to empty infrastructure constructions such as (houses, buildings, among others). The scientific article aims to replace the electric generator used in an electric winch for infrastructure construction, implementing the design of an electrical system through the use of a frequency inverter, this new alternative will reduce costs when using the electric winch. Analytical methods were used and it was checked in the Autodesk Inventor program, obtaining optimal results in the solution, the established methodology is technological-explorative, since the problem was identified, and the possible solutions had to be investigated, when establishing the new solution, it began to be designed and manufactured. Once completed, it was incorporated and assembled into the electric winch, where the respective tests were carried out, being effective at 95%, since the power of the network is unstable where there are ranges where the current is raised and lowered, being an inconvenience for the machine to work at 100%, but it is being used for different activities and needs in construction. The results obtained by adding up all the costs that concern each system of the electric winch for construction: the use of the electrical system is S/ 392.98, the use of the electric generator is S/ 831.60 per day and manually it is S/ 580.00 per day. In summary, by using a frequency inverter in the solution, it allows us to prolong the useful life of the motor, preventing deterioration and unnecessary stoppages that cause downtime, it helps us to reduce energy consumption with a more efficient use, matching the demand of the application, avoiding current peaks and voltage drops, above all, it allows us to regulate the frequency according to the need, configure the acceleration and deceleration to avoid stops and sudden starts of the engine.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".