摘要
由于全电力船舶推进系统结构组成复杂,且海洋环境恶劣,面临着系统故障频发、安全苛求等问题。针对传统风险优先数评估存在的缺陷,提出了一种基于模糊置信理论的故障模式影响模糊评估方法。利用信息熵与定性分析融合的综合权重确定专家意见的可信度权重,各风险因子相对权重通过语言变量和模糊等级来评价,并基于模糊置信结构给出各风险因子及相对权重的整体模糊置信等级评价,最终结合模糊置信决策矩阵,实现对各故障模式模糊置信评价的解进行模糊化处理。最后以推进子系统典型故障模式为例,验证了所提方法的有效性。
All-electric ship propulsion system is prone to suffer from system failures and security threats for its complex functional structure and poor operation environment. In view of the defects of traditional risk priority number(RPN) evaluation, an improved evaluation method for the failure mode and effect analysis(FMEA) is proposed based on the fuzzy confidence theory. The comprehensive weight based on the fusion of information entropy and qualitative analysis is employed to determine the credibility weights of expert opinions. Each risk factor and its relative weight are evaluated by linguistic terms and fuzzy ratings. With the fuzzy confidence structure, the overall fuzzy confidence level evaluation of each risk factor and its relative weight are given. According to the fuzzy confidence decision matrix, the fuzzy confidence evaluation of each failure mode is defuzzified. Finally, a typical failure mode of the propulsion subsystem is taken as an example to verify the effectiveness of the proposed method.
作者
刘胜
郭晓杰
张兰勇
谭银朝
LIU Sheng;GUOXiao-jie;ZHANG Lan-yong;TAN Yin-chao(College of Intelligent Systems Science and Engineering,Harbin Engineering University,Harbin 150001,China;Shandong Shipbuilding Control Engineering and Intelligent System Engineering Technology Research Center,Weihai 264300,China)
出处
《控制工程》
CSCD
北大核心
2021年第9期1807-1813,共7页
Control Engineering of China
基金
国家自然科学基金资助项目(51579047)
山东省重点研发计划资助项目(2018GHY115001)。
关键词
全电力船舶推进
故障模式与影响分析
模糊置信结构
风险优先排序
All-electric ship propulsion
failure mode and effect analysis
fuzzy confidence structure
risk prioritization
