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Fuzzy reliability analysis of DFSMC system in LNG carriers for components with different membership function

机译:隶属函数不同的LNG运输船中DFSMC系统的模糊可靠性分析

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The purpose of the present study is to analyse the fuzzy reliability of dual-fuel steam turbine mechanical propulsion conventional (DFSMC) system of LNG carriers for components with different membership function by applying T-omega(weakest t-norm) based generalized fuzzy lambda-tau (TBGFLT) technique. TBGFLT technique applies fault-tree, Lambda-Tau method, different membership functions, alpha-cut and the weakest t-norm (T-omega) based approximate fuzzy arithmetic operations for evaluating fuzzy reliability of the system. The computed results have been compared with results obtained from four other fuzzy reliability techniques. This comparative study concludes that TBGFLT reduces growing phenomenon of fuzziness at any confidence level when system components' follow different membership function. System long run reliability and availability, sensitivity analysis and its critical components' ranking have also been conducted for analysing system behavior to improve its performance. Based on the results, some influential suggestions have been drawn which may be helpful for maintenance personnel to design and execute some action plans for improving system performance under vague environment.
机译:本研究的目的是通过应用基于T-omega(最弱t范数)的广义模糊Lambda-方法来分析具有不同隶属函数的LNG船用双燃料汽轮机机械推进常规(DFSMC)系统的模糊可靠性tau(TBGFLT)技术。 TBGFLT技术运用故障树,Lambda-Tau方法,不同的隶属函数,alpha割和基于最弱t范数(T-omega)的近似模糊算术运算来评估系统的模糊可靠性。将计算结果与从其他四种模糊可靠性技术获得的结果进行了比较。这项比较研究得出的结论是,当系统组件遵循不同的隶属函数时,TBGFLT可以在任何置信度水平上降低模糊性的增长现象。还进行了系统长期可靠性和可用性,敏感性分析及其关键组件的排名,以分析系统行为以提高其性能。根据结果​​,提出了一些有影响力的建议,可能有助于维护人员设计和执行一些行动计划,以改善在模糊环境下的系统性能。

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