A marine energy system, which is fundamentally not paired with electric grids, should\nwork for an extended period with high reliability. To put it in another way, by employing electrical\nutilities on a ship, the electrical power demand has been increasing in recent years. Besides, fuel cells\nin marine power generation may reduce the loss of energy and weight in long cables and provide a\nplatform such that each piece of marine equipment is supplied with its own isolated wire connection.\nHence, fuel cells can be promising power generation equipment in the marine industry. Besides,\nfailure modes and effects analysis (FMEA) is widely accepted throughout the industry as a valuable\ntool for identifying, ranking, and mitigating risks. The FMEA process can help to design safe\nhydrogen fueling stations. In this paper, a robust FMEA has been developed to identify the potentially\nhazardous conditions of the marine propulsion system by considering a general type-2 fuzzy logic\nset. The general type-2 fuzzy system is decomposed of several interval type-2 fuzzy logic systems\nto reduce the inherent highly computational burden of the general type-2 fuzzy systems. Linguistic\nrules are directly incorporated into the fuzzy system. Finally, the results demonstrate the success\nand effectiveness of the proposed approach in computing the risk priority number as compared to\nstate-of-the-art methods.
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