提出一种改进失效模式与影响分析(Failure Mode and Effect Analysis,FMEA)模型用于智能制造系统可靠性风险评估。首先基于文献法、专家访谈和鱼骨图分析法,从人、机、料、法、环(Human-Machine-Material-Method-Environment,4M1E)五个...提出一种改进失效模式与影响分析(Failure Mode and Effect Analysis,FMEA)模型用于智能制造系统可靠性风险评估。首先基于文献法、专家访谈和鱼骨图分析法,从人、机、料、法、环(Human-Machine-Material-Method-Environment,4M1E)五个方面识别智能制造运行过程中的潜在失效模式;其次使用三角模糊数获取专家对失效模式的风险评估信息,风险因子权重由结构熵权法计算确定;最后运用模糊C均值(Fuzzy C-Means,FCM)算法划分失效模式的风险等级。此外,为了检验结果的有效性和可靠性,采用对比分析和蒙特卡洛仿真进行验证。展开更多
Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the app...Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.展开更多
随着人工智能技术的发展,船舶领域开始逐步应用智能航行辅助决策系统。作为船舶领域的新系统,有必要对智能航行辅助决策系统的风险进行研究。本文采用故障模式和影响分析(Failure Mode and Effects Analysis,FMEA)、风险矩阵方法,对智...随着人工智能技术的发展,船舶领域开始逐步应用智能航行辅助决策系统。作为船舶领域的新系统,有必要对智能航行辅助决策系统的风险进行研究。本文采用故障模式和影响分析(Failure Mode and Effects Analysis,FMEA)、风险矩阵方法,对智能航行辅助决策系统可能发生的故障模式、原因和风险程度进行研究,并针对某些风险较高的故障模式提出了风险控制措施。通过研究识别出17种故障模式,包含14种中风险等级和3种低风险等级的故障模式。针对中风险等级的故障模式提出风险控制措施后,8种故障模式从中风险降为低风险等级。展开更多
文摘Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.
文摘随着人工智能技术的发展,船舶领域开始逐步应用智能航行辅助决策系统。作为船舶领域的新系统,有必要对智能航行辅助决策系统的风险进行研究。本文采用故障模式和影响分析(Failure Mode and Effects Analysis,FMEA)、风险矩阵方法,对智能航行辅助决策系统可能发生的故障模式、原因和风险程度进行研究,并针对某些风险较高的故障模式提出了风险控制措施。通过研究识别出17种故障模式,包含14种中风险等级和3种低风险等级的故障模式。针对中风险等级的故障模式提出风险控制措施后,8种故障模式从中风险降为低风险等级。
