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Record W2626558437 · doi:10.4050/f-0072-2016-11484

A Comprehensive Approach for Tracking Helicopter Transmission Power Usage

2016· article· en· W2626558437 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl Systems and Identification
Canadian institutionsBell Helicopter Textron (Canada)
Fundersnot available
KeywordsComputer scienceTracking (education)Transmission (telecommunications)Power transmissionPower (physics)Telecommunications

Abstract

fetched live from OpenAlex

This paper describes the development and implementation of a power usage metric designed to accurately track the usage of rotorcraft power train systems. Utilization of this power usage metric is believed to be more accurate than the traditional approach that uses flight time for scheduling the overhaul of rotorcraft transmissions. As such, the result of this study may help the industry develop engineering processes that include a power usage algorithm for establishing the intervals between inspections of transmissions in helicopter powertrains. The feasibility of this metric was subjected to a two-year operator's demonstration program. The results of this program showed that the rate of power usage for each aircraft could be tracked accurately and reliably. Furthermore, it showed that this power usage algorithm could be combined with mechanical diagnostic indicators to form a reliable prognostic model.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.189

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 head0.019
GPT teacher head0.221
Teacher spread0.202 · 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

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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