Total friction management on Canadian Pacific
Bibliographic record
Abstract
Canadian Pacific Railway (CPR) has been a leader in implementation of new friction control technology. Following earlier trials, we report the design, justification, roll out and early results of Total Friction Management (TFM) (CF plus TOR) over all high tonnage lines in Western Canada. Tools and processes needed for implementing TFM over a large territory are described. The roll out incorporates state of the art equipment and materials for CF and TOR application, logistics considerations for material handling, and maintenance issues through dedicated TFM staff. Development of a holistic economic case for this TFM project is discussed. Prior results were used to quantify expected savings in rail, ties, and track regauging. Wheel replacement savings were estimated. Locomotive fuel savings were projected by model. Together with the appropriate costs, the expected savings were used to develop an overall business case. TFM implementation involves installation of 325 TOR wayside applicators over 923 route miles between Calgary to Vancouver, as well as optimization and upgrade of 216 wayside CF units. Remote Performance Monitoring is used to manage unit maintenance. Performance verification includes use of L/V sites for TOR effectiveness, and regular high speed tribometer runs to validate and optimize CF performance. Monitoring of the project to date indicate fuel savings (>5% ) well in excess of those used to justify the project.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".