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Record W7125709645 · doi:10.1784/cm2025.1e3

Assessing RPAS safety and reliability: a Canadian system safety analysis framework

2025· article· en· W7125709645 on OpenAlexaffabout
S. Bhanwala, M. Dubrule, Zahra Samadikhoshkho, M.G. Lipsett

Bibliographic record

VenueProceedings of the International Conference on Condition Monitoring and Asset Management · 2025
Typearticle
Languageen
FieldEngineering
TopicAir Traffic Management and Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSystem safetyObservabilityReliability (semiconductor)Fault tree analysisWork (physics)Key (lock)Failure mode and effects analysisAir traffic control

Abstract

fetched live from OpenAlex

Remotely Piloted Aircraft Systems are proving to be valuable assets for civilian operations ranging from wildland firefighting to agricultural monitoring. Transport Canada, Canada's regulatory body for aviation, has laid out safety and reliability targets for integrating these aircraft into the Canadian airspace; however, it has left the means of compliance to the manufacturer. This paper provides a summary of the Canadian regulatory environment and the methodology to conduct a system safety analysis for the purpose of assessing the safety and reliability of an aircraft in high-risk beyond visual line of sight operations. The suggested methodology is a streamlined framework that manufacturers can adopt to identify the reliability targets and conduct a system safety analysis while still meeting high safety standards. A key contribution of this work is the integration of observability as a critical factor in managing risk. By incorporating observability into the design and operational phases of both the aircraft and the ground control station, the proposed framework supports early fault detection in complex operations.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.452

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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 designTheoretical or conceptual
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
Published2025
Admission routes2
Has abstractyes

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