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Record W2036095940 · doi:10.1115/jrc2010-36208

The Canadian Pacific DGRMS: The First Use of Deployable GRMS in a Production Mode

2010· article· en· W2036095940 on OpenAlexaffabout
Jeffrey A. Bloom, Ron Gagne

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsCanadian Pacific Railway (Canada)
Fundersnot available
KeywordsAxleShakedownEngineeringMode (computer interface)Production (economics)Production system (computer science)Automotive engineeringMarine engineeringEnvironmental scienceComputer scienceMechanical engineeringStructural engineeringOperating system

Abstract

fetched live from OpenAlex

The Deployable GRMS (DGRMS), which is capable of testing gage restraint at 50 mph, was originally developed for the FRA in 2004. Gage Restraint Measurement systems use a hydraulically loaded split axle to laterally push outward on each rail to expose gage restraint weaknesses. The DGRMS is the first system to utilize a deployable fifth axle instead of a running axle for this purpose. The FRA prototype system has been used in FRA research projects but not in a year-round daily production mode. Canadian Pacific Railway (CPR) procured the first production system that was installed on a box car and placed the system into service in February 2009. The first six months of service was used for equipment shakedown which resulted in a robust daily production system. The resultant system is being used year-round by CP, even on snow-covered rails. This paper describes the CP experience, the results of the test program, and new improvements in the technology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.171
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes2
Has abstractyes

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