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Record W4243259810 · doi:10.4271/2002-01-0430

Performance and Durability Evaluation of Continuously Regenerating Particulate Filters on Diesel Powered Urban Buses at NY City Transit - Part II

2002· article· en· W4243259810 on OpenAlexaff
Sougato Chatterjee, Ray Conway, Thomas Lanni, Brian P. Frank, Shida Tang, D Rosenblatt, Christopher Bush, Dana Lowell, Robert G. McLean, Steven J. Levy

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2002
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsEnvironment and Climate Change Canada
FundersNew York State Department of Environmental Conservation
KeywordsDurabilityParticulatesDiesel particulate filterDiesel fuelTransit (satellite)Automotive engineeringEnvironmental sciencePublic transportTransport engineeringComputer scienceEngineeringChemistry

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">In urban areas, particulate emission from diesel engines is one of the pollutants of most concern. As a result, particulate emission control from urban bus diesel engines using particle filter technology is being evaluated at several locations in the US. A project entitled, “Clean Diesel Vehicle Air Quality Project” has been initiated by NY City Transit under the supervision of NYSDEC and with active participation from several industry partners.</div> <div class="htmlview paragraph">Under this program, 25 NY City transit buses with DDC Series 50 engines have been equipped with continuously regenerating diesel particulate filter systems and have been operating with ultra low sulfur diesel (< 30 ppm S) in transit service in Manhattan since February 2000.</div> <div class="htmlview paragraph">These buses were evaluated over a 9 month period for operations, maintainability and durability of the particulate filter. In addition, an extensive emissions testing program was carried out under transient cycles on a chassis dyno to evaluate the emissions reductions obtained with the particulate filter, at the beginning and at the end of the 9 - 12 months durability period.</div> <div class="htmlview paragraph">The on-road operational data over fourteen months showed stable exhaust back pressure with the diesel particulate filters, indicating successful filter regeneration. No adverse operational or maintenance issues were observed which can be attributed to the filter system. The emissions results from the post durability (after 9-12 months) testing exhibited >90% reductions in CO and PM and > 70% for HC, with the particulate filter.</div> <div class="htmlview paragraph">In addition, >99% reductions in Carbonyls, >72% in PAH and 70-99% VOC reductions were also achieved.</div> <div class="htmlview paragraph">In this paper, the post durability emission testing data from the NY City Clean Diesel Vehicle Air Quality Project are discussed in detail. In addition, the on-road performance of the CRT<sup>®</sup> filter equipped buses is also reported for the durability period.</div>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.234
Teacher spread0.209 · 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.

Study designObservational
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

Citations23
Published2002
Admission routes1
Has abstractyes

Explore more

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