Some Insights in Novel Risk Modeling of Liquefied Natural Gas Carrier Maintenance Operations

This study discusses the analysis of various modeling approaches and maintenance techniques applicable to the Liquefied Natural Gas (LNG) carrier operations in the maritime environment. Various novel modeling techniques are discussed; including genetic algorithms, fuzzy logic and evidential reasoning. We also identify the usefulness of these algorithms in the LNG carrier industry in the areas of risk assessment and maintenance modeling.

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    • Copyright © 2016, Harbin Engineering University and Springer-Verlag Berlin Heidelberg. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
  • Authors:
    • Nwaoha, T C
    • John, Andrew
  • Publication Date: 2016-6

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  • English

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  • Accession Number: 01600248
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 17 2016 11:37AM