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Record W4408837452 · doi:10.1299/jsmemecj.2024.s054-09

Retrofitting variable flow axial fan by inverter control at the Kan-etsu Tunnel

2024· article· en· W4408837452 on OpenAlex
Kazuo HOSHI

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Proceedings of Mechanical Engineering Congress Japan · 2024
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsRetrofittingInverterVariable (mathematics)Flow (mathematics)EngineeringComputer scienceStructural engineeringMechanicsElectrical engineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

The Kan-etsu Tunnel is the longest mountain tunnel in Japan, with a length of approximately 11 km, and longitudinal ventilation is operated using fans installed in two underground ventilation stations and one precipitator room on each of the outbound and inbound tunnel. These fans have a variable rotor blade angle in consideration of air volume adjustment and the effect on the electric motor. In recent years, there have been occasional cases which it has become difficult to adjust the blade angle of the fans installed in the precipitator room due to rust caused by antifreeze sprayed in winter. Therefore, it was required to consider upgrading the system to one with a fixed blade angle and variable motor speed controlled by an inverter. This report describes the results of tests conducted during the retrofit and the operating status after the retrofit.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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