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System Integration and Verification Approach for Large-Scale Space Power Systems

2024· article· en· W4405935844 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceScale (ratio)Space (punctuation)Electric power systemPower (physics)PhysicsOperating system

Abstract

fetched live from OpenAlex

When we define a large-scale system, a typical example would be a space development project. When we talk about large-scale systems in space development, there is the International Space Station (ISS), which was proposed by NASA in the 1980s as a manned space station, and which Japan, ESA, Canada, and later Russia joined as international partners. Japan's unique space transportation system, rocket development, began in the 1970s, and has a history of development of the H-1, H-2, and the new H-3, making it a largescale system promoted by Japan. In addition, the satellite carried on the third H-3 is called ALOS-4, which has an earth observation mission, and is a large satellite that weighs 3 tons and is 20 meters long when the solar paddles are deployed, so it can be said to be a large-scale system. In this paper, the author looks back on and explains the integration and verification of the International Space Station from development to operation, focusing on the development of large-scale space power systems, their integration, and verification. In addition, from a comparative perspective, the integration and verification of Japanese rocket development is compared with the ISS. The conceptual and basic design of the International Space Station began in the 1980s, and in-orbit assembly began in 1998. It is scheduled to be completed in 2011 and to end its role in 2030. Looking back at the history of the ISS, there are broadly a design phase, a development phase, and an assembly phase, and the operation phase began after in-orbit assembly began. In these phases, test verification and integration tests were conducted according to the phase at that time. The International Space Station, a large-scale space system, initially had an extremely high-risk assembly scenario in which elements and modules from each country were launched, connected in orbit, and element-to-element integration and verification tests were conducted for the first time. In this paper, the author describes how the problems and challenges of integration and verification of the International Space Station, an international collaborative program, have been solved, and attempts an overall evaluation of the development of such a large-scale system.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.263

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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
Published2024
Admission routes1
Has abstractyes

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