液化天然氣運(yùn)輸船維修作業(yè)風(fēng)險(xiǎn)建模評(píng)述（英文）

【摘要】：This study discusses the analysis of various modeling approaches such as genetic algorithms, fuzzy logic and evidential reasoning, and maintenance techniques applicable to the liquefied natural gas(LNG) carrier operations in the maritime environment. The usefulness of these algorithms in the LNG carrier industry in the areas of risk assessment and maintenance modeling as a standalone or hybrid algorithm are identified. This is evidenced with illustrative case studies. 【作者單位】： Marine
【關(guān)鍵詞】： safety risk modeling maintenance LNG carrier fuzzy logic genetic algorithm evidential reasoning
【分類號(hào)】：U672
【正文快照】： 1 Introduction1 The increase in demand and supply of Liquefied Natural Gas(LNG)in recent times,poses a threat to the maritime environment and the public,owing to its inevitable.This is because high risk hazards might occur,if not properly handled.The nu

您可以在本站搜索以下學(xué)術(shù)論文文獻(xiàn)來(lái)了解更多相關(guān)內(nèi)容

艦船維修系統(tǒng)建模與能力評(píng)估(英文)    趙金超;齊歡;張勇明;

Technology Integration On Cargo Handling Systems    Mark DiTroia;Daniel Feeney;Suzanne Kralle;

U.S.Navy's In-Line Automated Oil Analysis Program    Petter A.Kristiansen;Richard E.Leeker;