Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose ch...Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA.展开更多
A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the d...A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.展开更多
目的:分析失效模式与效应分析(failure mode and effect analysis,FMEA)在口腔综合治疗台水路(DUWLs)污染管理中的应用,为临床口腔综合治疗台水路污染防控提供依据。方法:采用便利抽样法,选取某三级甲等口腔专科医院40台口腔综合治疗台(...目的:分析失效模式与效应分析(failure mode and effect analysis,FMEA)在口腔综合治疗台水路(DUWLs)污染管理中的应用,为临床口腔综合治疗台水路污染防控提供依据。方法:采用便利抽样法,选取某三级甲等口腔专科医院40台口腔综合治疗台(DCU)为研究对象,应用失效模式与效应分析法风险管理工具,组建多学科团队,通过对口腔综合治疗台所在科室口腔综合治疗台管理相关人员进行隐蔽性参与式观察,发现口腔综合治疗台管理过程中潜在失效模式及潜在失效结果,对高风险失效模式制定并实施一系列干预措施。比较失效模式与效应分析法实施前后口腔综合治疗台手机端、三用枪、漱口水端开诊前及诊疗之间医务人员冲洗行为的依从率及正确率、各失效模式的风险优先指数(RPN)降低率以及诊疗用水合格率。结果:与干预前相比,实施失效模式与效应分析法管理后口腔综合治疗台手机端、三用枪、漱口水端开诊前及诊疗之间医务人员冲洗行为的依从率及正确率均提高,差异均有统计学意义(P<0.05);与干预前相比,实施失效模式与效应分析法管理后各项高风险失效模式RPN值均下降;与干预前相比,口腔综合治疗台手机端、三用枪、漱口水端诊疗用水合格率提高,差异均有统计学意义(P<0.05)。结论:运用失效模式与效应分析法风险管理工具能有效提升口腔医务人员口腔综合治疗台水路污染管理水平,提高口腔诊疗用水合格率。展开更多
基金supported by the Fundamental Research Funds for the Central Universities(22120240094)Humanities and Social Science Fund of Ministry of Education China(22YJA630082).
文摘Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA.
基金Project(51275205)supported by the National Natural Science Foundation of China
文摘A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.
文摘目的:分析失效模式与效应分析(failure mode and effect analysis,FMEA)在口腔综合治疗台水路(DUWLs)污染管理中的应用,为临床口腔综合治疗台水路污染防控提供依据。方法:采用便利抽样法,选取某三级甲等口腔专科医院40台口腔综合治疗台(DCU)为研究对象,应用失效模式与效应分析法风险管理工具,组建多学科团队,通过对口腔综合治疗台所在科室口腔综合治疗台管理相关人员进行隐蔽性参与式观察,发现口腔综合治疗台管理过程中潜在失效模式及潜在失效结果,对高风险失效模式制定并实施一系列干预措施。比较失效模式与效应分析法实施前后口腔综合治疗台手机端、三用枪、漱口水端开诊前及诊疗之间医务人员冲洗行为的依从率及正确率、各失效模式的风险优先指数(RPN)降低率以及诊疗用水合格率。结果:与干预前相比,实施失效模式与效应分析法管理后口腔综合治疗台手机端、三用枪、漱口水端开诊前及诊疗之间医务人员冲洗行为的依从率及正确率均提高,差异均有统计学意义(P<0.05);与干预前相比,实施失效模式与效应分析法管理后各项高风险失效模式RPN值均下降;与干预前相比,口腔综合治疗台手机端、三用枪、漱口水端诊疗用水合格率提高,差异均有统计学意义(P<0.05)。结论:运用失效模式与效应分析法风险管理工具能有效提升口腔医务人员口腔综合治疗台水路污染管理水平,提高口腔诊疗用水合格率。
