The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate ev...The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate evaluation method does not make full use of the fuzzy information and uncertain information in the equipment system-of-systems(ESoS),and the Bayesian network is an effective tool to solve the uncertain information,a new ESoSA contribution rate evaluation method based on the fuzzy Bayesian network(FBN)is proposed.Firstly,based on the operation loop theory,an ESoSA is constructed considering three aspects:reconnaissance equipment,decision equipment,and strike equipment.Next,the fuzzy set theory is introduced to construct the FBN of ESoSA to deal with fuzzy information and uncertain information.Furthermore,the fuzzy importance index of the root node of the FBN is used to calculate the contribution rate of the ESoSA,and the ESoSA contribution rate evaluation model based on the root node fuzzy importance is established.Finally,the feasibility and rationality of this method are validated via an empirical case study of aviation ESoSA.Compared with traditional methods,the evaluation method based on FBN takes various failure states of equipment into consideration,is free of acquiring accurate probability of traditional equipment failure,and models the uncertainty of the relationship between equipment.The proposed method not only supplements and improves the ESoSA contribution rate assessment method,but also broadens the application scope of the Bayesian network.展开更多
为改善载人密闭舱室整体舒适度,提升作业人员的生理、心理舒适性与工作效率。对载人密闭舱室舒适度评估方法展开深入探究,在完成舱室整体舒适度评估的基础上,能够进一步明确影响舱室综合舒适度的基本事件并进行重要度排序,从而更有针对...为改善载人密闭舱室整体舒适度,提升作业人员的生理、心理舒适性与工作效率。对载人密闭舱室舒适度评估方法展开深入探究,在完成舱室整体舒适度评估的基础上,能够进一步明确影响舱室综合舒适度的基本事件并进行重要度排序,从而更有针对性的改进和指导载人密闭舱室设计。构建了载人密闭舱室舒适度故障树分析(Fault tree analysis,FTA)模型,将载人密闭舱室舒适度影响因素划分生理环境、物理因素、主观感受3个中间等级,下行提取17个基本事件,综合模糊贝叶斯(Fuzzy bayesian networks,FBN)方法进行正向诊断,评估载人密闭舱室的整体舒适性;展开逆向因果推理,寻找造成舱室不舒适的主要原因。结果表明:实例探究中选取西北工业大学载人密闭实验室进行整体舒适度评估,并通过16位被试人员的主观评价验证了载人密闭舱室FTA-FBN舒适度评估方法的有效性与可靠性;逆向推理计算各基本事件对舱室整体舒适度的影响概率并进行排序,指出载人密闭舱室设计改进方向。展开更多
对多旋翼电动垂直起降(electric vertical takeoff and landing,eVTOL)航空器推进系统进行了可靠性分析与分配。首先,针对多旋翼eVTOL航空器可靠性历史数据积累不足的问题,使用模糊贝叶斯网络(fuzzy Bayesian network,FBN)建立可靠性分...对多旋翼电动垂直起降(electric vertical takeoff and landing,eVTOL)航空器推进系统进行了可靠性分析与分配。首先,针对多旋翼eVTOL航空器可靠性历史数据积累不足的问题,使用模糊贝叶斯网络(fuzzy Bayesian network,FBN)建立可靠性分析模型,对其可靠性先验数据进行了补充,并进行可靠性后验推理,辅助定位推进系统关键环节。其次,基于FBN可靠性分析模型,提出一种改进电子设备可靠性咨询组(advisory group on reliability of electronic equipment,AGREE)可靠性分配方法,对不同构型多旋翼eVTOL推进系统进行可靠性分配。结果表明,FBN可靠性分析模型补充了推进系统可靠性数据,可有效识别系统薄弱环节。改进AGREE分配法的可靠性分配结果符合SC-VTOL-01中对eVTOL航空器的可靠性要求,同时该方法得到的可靠性分配结果更为合理,体现了不同构型、子系统、部件间的差异。展开更多
基金supported by the National Key Research and Development Project(2018YFB1700802)the National Natural Science Foundation of China(72071206)the Science and Technology Innovation Plan of Hunan Province(2020RC4046).
文摘The contribution rate of equipment system-of-systems architecture(ESoSA)is an important index to evaluate the equipment update,development,and architecture optimization.Since the traditional ESoSA contribution rate evaluation method does not make full use of the fuzzy information and uncertain information in the equipment system-of-systems(ESoS),and the Bayesian network is an effective tool to solve the uncertain information,a new ESoSA contribution rate evaluation method based on the fuzzy Bayesian network(FBN)is proposed.Firstly,based on the operation loop theory,an ESoSA is constructed considering three aspects:reconnaissance equipment,decision equipment,and strike equipment.Next,the fuzzy set theory is introduced to construct the FBN of ESoSA to deal with fuzzy information and uncertain information.Furthermore,the fuzzy importance index of the root node of the FBN is used to calculate the contribution rate of the ESoSA,and the ESoSA contribution rate evaluation model based on the root node fuzzy importance is established.Finally,the feasibility and rationality of this method are validated via an empirical case study of aviation ESoSA.Compared with traditional methods,the evaluation method based on FBN takes various failure states of equipment into consideration,is free of acquiring accurate probability of traditional equipment failure,and models the uncertainty of the relationship between equipment.The proposed method not only supplements and improves the ESoSA contribution rate assessment method,but also broadens the application scope of the Bayesian network.
文摘为改善载人密闭舱室整体舒适度,提升作业人员的生理、心理舒适性与工作效率。对载人密闭舱室舒适度评估方法展开深入探究,在完成舱室整体舒适度评估的基础上,能够进一步明确影响舱室综合舒适度的基本事件并进行重要度排序,从而更有针对性的改进和指导载人密闭舱室设计。构建了载人密闭舱室舒适度故障树分析(Fault tree analysis,FTA)模型,将载人密闭舱室舒适度影响因素划分生理环境、物理因素、主观感受3个中间等级,下行提取17个基本事件,综合模糊贝叶斯(Fuzzy bayesian networks,FBN)方法进行正向诊断,评估载人密闭舱室的整体舒适性;展开逆向因果推理,寻找造成舱室不舒适的主要原因。结果表明:实例探究中选取西北工业大学载人密闭实验室进行整体舒适度评估,并通过16位被试人员的主观评价验证了载人密闭舱室FTA-FBN舒适度评估方法的有效性与可靠性;逆向推理计算各基本事件对舱室整体舒适度的影响概率并进行排序,指出载人密闭舱室设计改进方向。
文摘对多旋翼电动垂直起降(electric vertical takeoff and landing,eVTOL)航空器推进系统进行了可靠性分析与分配。首先,针对多旋翼eVTOL航空器可靠性历史数据积累不足的问题,使用模糊贝叶斯网络(fuzzy Bayesian network,FBN)建立可靠性分析模型,对其可靠性先验数据进行了补充,并进行可靠性后验推理,辅助定位推进系统关键环节。其次,基于FBN可靠性分析模型,提出一种改进电子设备可靠性咨询组(advisory group on reliability of electronic equipment,AGREE)可靠性分配方法,对不同构型多旋翼eVTOL推进系统进行可靠性分配。结果表明,FBN可靠性分析模型补充了推进系统可靠性数据,可有效识别系统薄弱环节。改进AGREE分配法的可靠性分配结果符合SC-VTOL-01中对eVTOL航空器的可靠性要求,同时该方法得到的可靠性分配结果更为合理,体现了不同构型、子系统、部件间的差异。
