Slow Rolling of Multiple Pump Motors at a Large Petrochemical Complex
Bibliographic record
Abstract
Slow rolling of rotating equipment has been used for decades to prevent rotating parts such as shafts of large electric turbines, motors, pumps, and compressors from sagging or bending when not in operation. In industrial facilities, such as large petroleum processing plants, slow rolling is often used with stand-by pumps to prevent pump casing distortion and shaft bending. This paper covers an industrial application of a slow rolling scheme for up to two motors driven simultaneously utilizing a single Adjustable Speed Drive (ASD). The control system has been fully automated using a Programmable Logic Controller (PLC) interfaced with an upstream Distributed Control Systems (DCS). The scheme provides a cost-effective solution for multi-motor applications by reducing the number of ASDs required, minimizing the required footprint in the substation, improving energy efficiency by eliminating electric power conversion losses, and reducing the overall installation costs. Attention will be given to the control systems architecture, automated modes of operation, electrical configuration, and mechanical performance.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".