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Record W2354047913

Research on Design Methods of SIS for LNG Carrier Cargo System

2010· article· zh· W2354047913 on OpenAlexvenueno aff
Deyun Wang

Bibliographic record

VenueMicrocomputer applications · 2010
Typearticle
Languagezh
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFlammable liquidFault tree analysisComputer scienceHazard and operability studyReliability engineeringEnvironmental scienceProcess engineeringWaste managementEngineering
DOInot available

Abstract

fetched live from OpenAlex

LNG carrier is a kind of large-scale ship used for transportation of LNG with temperature under -163℃,so LNG carrier is a high-tech,high challenging and high value-added product. Because of its ultra low boiling point and flammable characteristics,LNG carrier owns a higher safety requirement. As an important part of LNG carrier,the safety of cargo system is especially significant for the safety of the whole LNG carrier. Standard IEC61508 is the guideline for design of safety system. This paper applies it to the design of LNG carrier cargo system and achieves some positive results. This paper introduces the content of IEC61508 and two important concepts (safety integrity level and safety life-cycle) in it firstly,and then based on IEC61508,using HAZOP method and event tree analysis method to analyze and design SIS for LNG Carrier cargo tank. Finally,this paper verified the effectiveness of safety instrumented system design by means of the event tree analysis.

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)0.014
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.215
GPT teacher head0.516
Teacher spread0.301 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2010
Admission routes1
Has abstractyes

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