为确定航天器系统级可测试性设计的指标要求,对一种基于确定与随机Petri网(Deterministic and Stochastic Petri Net,DSPN)模型的可测试性指标确定方法进行了研究。通过对航天器系统测试过程的DSPN建模,建立起系统级可测试性设计指标与...为确定航天器系统级可测试性设计的指标要求,对一种基于确定与随机Petri网(Deterministic and Stochastic Petri Net,DSPN)模型的可测试性指标确定方法进行了研究。通过对航天器系统测试过程的DSPN建模,建立起系统级可测试性设计指标与其约束的联系,并利用求解模型同构的马尔科夫链来确定上述关系,文章同时给出了建模设计实例,进行了指标分析和验证。展开更多
针对目前导弹测试性需求建模尚未成熟,开展测试性需求分析难度较高的问题,提出一种基于广义随机Petri网(generalized stochastic Petri net,GSPN)的测试性需求建模方法。在分析导弹结构的基础上对导弹测试性需求问题进行了建模,给出导...针对目前导弹测试性需求建模尚未成熟,开展测试性需求分析难度较高的问题,提出一种基于广义随机Petri网(generalized stochastic Petri net,GSPN)的测试性需求建模方法。在分析导弹结构的基础上对导弹测试性需求问题进行了建模,给出导弹两级GSPN模型,深入分析其导弹系统的故障检测及维修过程。根据GSPN模型同构于嵌入马尔可夫链(embedded Markov chain,EMC),以实存状态集和消失状态集表征库所变迁,采用同构法对测试性指标进行求解。将多层级GSPN模型分解化简,减少状态空间数量的求解。对导弹的GSPN模型进行定性和定量分析,求解不同层级测试性指标最后通过仿真计算,与系统要求可用度误差不超过0.7%,验证了多层GSPN模型的可行性和分析结果的可信性。展开更多
传感器优化配置是实现航空设备故障预测与健康管理(Prognostics and Health Management,PHM)系统设计的基础和保证.本文首先对系统的故障-传感器相关性矩阵进行了改进,在此基础上根据系统测试性指标要求建立了考虑传感器故障率的约束优...传感器优化配置是实现航空设备故障预测与健康管理(Prognostics and Health Management,PHM)系统设计的基础和保证.本文首先对系统的故障-传感器相关性矩阵进行了改进,在此基础上根据系统测试性指标要求建立了考虑传感器故障率的约束优化模型,并采用一种改进的离散粒子群算法求解.算法根据传感器优化配置的特点设计了粒子个体适应度计算方法,惯性权重则基于群体早熟程度自适应调整.仿真实例验证了本文方法的有效性,优化结果满足系统各项测试性指标要求,可为航空设备PHM系统的传感器优化配置提供有效指导.展开更多
Estimation of support pressure is extremely important to the support system design and the construction safety of tunnels.At present,there are many methods for the estimation of support pressure based on different roc...Estimation of support pressure is extremely important to the support system design and the construction safety of tunnels.At present,there are many methods for the estimation of support pressure based on different rock mass classification systems,such as Q system,GSI system and RMR system.However,various rock mass classification systems are based on different tunnel geologic conditions in various regions.Therefore,each rock mass classification system has a certain regionality.In China,the BQ-Inex(BQ system)has been widely used in the field of rock engineering ever since its development.Unfortunately,there is still no estimation method of support pressure with BQ-index as parameters.Based on the field test data from 54 tunnels in China,a new empirical method considering BQ-Inex,tunnel span and rock weight is proposed to estimate the support pressure using multiple nonlinear regression analysis methods.And then the significance and necessity of support pressure estimation method for the safety of tunnel construction in China is explained through the comparison and analysis with the existing internationally widely used support pressure estimation methods of RMR system,Q system and GSI system.Finally,the empirical method of estimating the support pressure based on BQ-index was applied to designing the support system in the China’s high-speed railway tunnel—Zhengwan high-speed railway and the rationality of this method has been verified through the data of field test.展开更多
文摘为确定航天器系统级可测试性设计的指标要求,对一种基于确定与随机Petri网(Deterministic and Stochastic Petri Net,DSPN)模型的可测试性指标确定方法进行了研究。通过对航天器系统测试过程的DSPN建模,建立起系统级可测试性设计指标与其约束的联系,并利用求解模型同构的马尔科夫链来确定上述关系,文章同时给出了建模设计实例,进行了指标分析和验证。
文摘传感器优化配置是实现航空设备故障预测与健康管理(Prognostics and Health Management,PHM)系统设计的基础和保证.本文首先对系统的故障-传感器相关性矩阵进行了改进,在此基础上根据系统测试性指标要求建立了考虑传感器故障率的约束优化模型,并采用一种改进的离散粒子群算法求解.算法根据传感器优化配置的特点设计了粒子个体适应度计算方法,惯性权重则基于群体早熟程度自适应调整.仿真实例验证了本文方法的有效性,优化结果满足系统各项测试性指标要求,可为航空设备PHM系统的传感器优化配置提供有效指导.
基金Projects(51878567,51878568,51578458)supported by the National Natural Science Foundation of ChinaProjects(2017G007-F,2017G007-H)supported by China Railway Science and Technology Research and Development Plan。
文摘Estimation of support pressure is extremely important to the support system design and the construction safety of tunnels.At present,there are many methods for the estimation of support pressure based on different rock mass classification systems,such as Q system,GSI system and RMR system.However,various rock mass classification systems are based on different tunnel geologic conditions in various regions.Therefore,each rock mass classification system has a certain regionality.In China,the BQ-Inex(BQ system)has been widely used in the field of rock engineering ever since its development.Unfortunately,there is still no estimation method of support pressure with BQ-index as parameters.Based on the field test data from 54 tunnels in China,a new empirical method considering BQ-Inex,tunnel span and rock weight is proposed to estimate the support pressure using multiple nonlinear regression analysis methods.And then the significance and necessity of support pressure estimation method for the safety of tunnel construction in China is explained through the comparison and analysis with the existing internationally widely used support pressure estimation methods of RMR system,Q system and GSI system.Finally,the empirical method of estimating the support pressure based on BQ-index was applied to designing the support system in the China’s high-speed railway tunnel—Zhengwan high-speed railway and the rationality of this method has been verified through the data of field test.
