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Some Insights in Novel Risk Modeling of Liquefied Natural Gas Carrier Maintenance Operations 被引量:1
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作者 T. C. Nwaoha Andrew John 《Journal of Marine Science and Application》 CSCD 2016年第2期144-156,共13页
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 ope... 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. 展开更多
关键词 safety risk modeling maintenance LNG carrier fuzzylogic genetic algorithm evidential reasoning
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