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蒸汽动力系统失效模式与影响分析评估方法研究OA

Evaluation method research on failure mode and effects analysis of steam power system

中文摘要英文摘要

蒸汽动力系统设备结构复杂,易受振动、高湿等恶劣工况而发生故障,而传统失效模式与影响分析对其进行风险评估时存在较大局限.因此,本文提出一种基于区间直觉模糊集和多属性边界近似面积比较法的改进失效模式与影响分析方法.运用区间直觉模糊数表征专家评价信息,并结合专家背景与个人和群体的相似度确定专家权重,通过逐步加权评估比率分析法和最大交叉熵法计算风险因子的最终权重,采用多属性边界近似面积比较法进行风险排序.通过对船舶蒸汽动力系统进行风险评估,并进行评估结果和敏感性分析的对比验证.结果表明,改进失效模式与影响分析方法具有较高的稳定性和准确性.

Steam power system equipment is structurally complex and prone to failures under harsh conditions such as vibrations and high humidity.Traditional failure mode and effects analysis(FMEA)methods have significant limitations when assessing the risks associated with such systems.Therefore,this paper proposes an improved FMEA method based on interval-valued intuitionistic fuzzy sets and the multi-attributive border approximation area comparison(MABAC)method.First,interval intuitionistic fuzzy numbers are employed to represent expert evalua-tion information,and expert weights are determined by considering the background of experts as well as the similar-ity between individual and group evaluations.Then,the final weights of risk factors are calculated using the step-wise weight assessment ratio analysis(SWARA)and the maximum cross-entropy method.Finally,the MABAC method is employed for risk ranking.The proposed method is validated through risk assessment of a marine steam power system,with comparative analysis of the evaluation results and sensitivity analysis,demonstrating that the improved FMEA method offers high stability and accuracy.

管聪;周宜安;郑鑫;王蕾;陈辉

武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063江南造船(集团)有限责任公司 江南研究院,上海 201913武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063

交通工程

失效模式与影响分析区间直觉模糊集相似度逐步加权评估比率分析法多属性边界近似面积比较法最大交叉熵法蒸汽动力系统敏感性分析

《哈尔滨工程大学学报》 2026 (2)

317-326,10

国家重点研发计划项目(2019YFE0104600)国家自然科学基金青年科学基金项目(51909200).

10.11990/jheu.202407004

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