Abstract: To address the influence of multi-scale complex loads on the deep-sea mining transport system during operations, the Failure Modes and Effects Analysis (FMEA) method is improved based on the α-cut fuzzy numbers, resulting in an α-cut based Fuzzy FMEA model (α-FFMEA). The evaluation criteria of failure modes, including occurrence (O), severity (S), and detectability (D), are described by using linguistic terms, effectively overcoming the limitations of traditional methods in dealing with uncertainty. Analytic Hierarchy Process (AHP) and entropy theory are used to assign the weights of O, S, and D reasonably and objectively, ensuring the scientificity and accuracy of the risk assessment. The α-cut fuzzy numbers and centroid method are then used to calculate the risk priority number of each failure mode across different α-cuts, providing a quantitative basis for system failure prevention and optimization. Finally, the transport system in the deep-sea linkage system is analyzed to validate the effectiveness and applicability of the model, offering important theoretical basis and practical guidance for the optimization and failure prevention of the deep-sea mining transport system.

Key words: deep-sea mining, transport system, α-cut, failure mode and effects analysis, risk

摘要： 该文针对深海采矿输送系统在作业过程中受多尺度复杂载荷影响,基于α-截集模糊数改进故障模式与影响分析方法,提出了一种基于α-截集的模糊故障模式与影响分析模型。该模型通过语言术语描述故障模式的评价指标,包括发生度（O）、严重性（S）和检测度（D）,有效克服了传统方法在处理不确定性方面的局限性;再利用层次分析法和熵理论对O、S和D的权重进行主客观相结合的合理分配,确保风险评估的科学性与精确性;还根据α-截集模糊数和质心法计算各故障模式在不同α-截集下的风险优先级数,为系统故障预防与优化提供了量化依据。最后通过实例分析深海联动系统中的输送系统,验证了模型的有效性与适用性,为深海采矿输送系统的优化和故障预防提供了重要的理论依据和实践指导。

关键词: 深海采矿, 输送系统, α-截集, 故障模式与影响分析, 风险评估