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Record W4231085816 · doi:10.1177/0954410020919582

Design of hazard identification system for aircraft power supply system based on SIMPLORER and MATLAB co-simulation

2020· article· en· W4231085816 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

VenueProceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicReliability and Maintenance Optimization
Canadian institutionsUniversity of Toronto
FundersChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsMATLABIdentification (biology)Fault (geology)Interface (matter)Power (physics)HazardElectric power systemComputer scienceEngineeringControl engineeringProcess (computing)Automotive engineeringSimulationOperating system

Abstract

fetched live from OpenAlex

The aircraft power supply system provides power for all the electrical equipment on the aircraft. Its normal operation is the key to ensure the safe flight of the aircraft. So, identifying the hazards in aircraft power supply system is necessary and critically important. In this paper, a hazard identification system for APSS based on the combined simulation of SIMPLORER and MATLAB is proposed. First, the different main fault modes in the aircraft power supply system are set on the control interface. Then, through the simulation model established on SIMPLORER, the aircraft power supply system power supply logic simulation is realized in the set fault mode. Finally, the simulation result is sent to the MATLAB to complete an identification process by using support vector machine method. The final state of each component and the identification result are shown in the control interface. The hazard identification system proposed in this paper has strong data interactivity and it can be applied to online hazard identification.

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)0.001
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: none
Teacher disagreement score0.915
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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