Successful retrofit upgrade of direct hydraulic drive system for apron feeder applications in a limestone quarry to improve reliability and production
Bibliographic record
Abstract
This paper describes two case studies of actual retrofit upgrade conversion of failed electromechanical drive with a new direct hydraulic drive system for an apron feeder application. First we look at the concept and features of this drive then we look at each of these two case studies: 1) Installation at Lafarge Bath, Ontario for apron feeder drives for primary crusher. Previous drive had frequent maintenance problems due to many starts and stops, shock loading with fluctuating and increasing torque requirements. New hydraulic direct drive provided answers to these challenges and provided increased capacity upgrade; and 2) Installation at CEMEX, Wampum, PA., for an apron feeder drive for primary crusher. Previous drive had failed gearbox in a short time due to high shock loads and torque fluctuations, starts and stop, resulted in a sudden breakdown situation. New hydraulic direct drive was installed in a short time and has been performing trouble free
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".