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Record W4386070846 · doi:10.11159/eee23.105

FS8 Power System Anomaly Protection and Recovery Design

2023· article· en· W4386070846 on OpenAlexvenueno aff
Che Cheng Huang, Huang Hsu

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2023
Typearticle
Languageen
FieldEngineering
TopicSmart Grid and Power Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer sciencePower (physics)Physics

Abstract

fetched live from OpenAlex

The Power Control Unit (PCU) in the satellite is to condition energy from the solar arrays and distribute power for all subsystems on the satellite. In order to provide power control and distribution functions in FS8 spacecraft, great reliability and failure recovery for PCU is necessary during the 3-years mission life. Once the spacecraft encounters unknown anomalies and approaches the depletion of the spacecraft battery on-board, the PCU can enter a master emergency condition and introduces PCU master lockout, i.e. spacecraft lockout to dormancy. The spacecraft can be recovered if the space power condition is back to normal. Battery (MainBus) voltage values are monitored to protect the battery from over-charging. Some enable-flags are connected to prevent critical components from activating in accidents, e.g. solar array deployment mechanism. In this paper, we will discuss PCU hardware anomaly protection and software recovery Fault Detection, Isolation, and Recovery (FDIR).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

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 head0.009
GPT teacher head0.178
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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