A useful life prediction method based on the integration of the stochastic hybrid automata(SHA) model and the frame of the dynamic fault tree(DFT) is proposed. The SHA model can incorporate the orbit environment, work...A useful life prediction method based on the integration of the stochastic hybrid automata(SHA) model and the frame of the dynamic fault tree(DFT) is proposed. The SHA model can incorporate the orbit environment, work modes, system configuration, dynamic probabilities and degeneration of components,as well as spacecraft dynamics and kinematics. By introducing the frame of DFT, the system is classified into several layers, and the problem of state combination explosion is artfully overcome.An improved dynamic reliability model(DRM) based on the Nelson hypothesis is investigated to improve the defect of cumulative failure probability(CFP), which is used to address the failure probability of components in the SHA model. The simulation using the Monte-Carlo method is finally conducted on two satellites, which are deployed with the same multi-gyro subsystem but run on different orbits. The results show that the predicted useful life of the attitude control system(ACS) with consideration of abrupt failure,degradation, and running environment is quite different between the two satellites.展开更多
针对传统Petri网(P/T系统)无法根据后继标识确定系统失效部位的问题,采用着色Petri网(Colored Petri Net,CPN)建立动车组列控车载子系统的故障传播模型。首先,通过CPN与传统Petri网理论的对比说明采用CPN建模的可行性。其次,根据车载子...针对传统Petri网(P/T系统)无法根据后继标识确定系统失效部位的问题,采用着色Petri网(Colored Petri Net,CPN)建立动车组列控车载子系统的故障传播模型。首先,通过CPN与传统Petri网理论的对比说明采用CPN建模的可行性。其次,根据车载子系统的结构组成及工作模式建立故障树模型,并通过Petri网描述故障树逻辑门事件之间的逻辑关系,给出故障树的Petri网表示方法,建立车载子系统的P/T系统模型;进一步根据CPN理论确定托肯染色方法、权函数等模型参数,将P/T系统转化为着色网系统,并举例说明后继标识的计算规则。最后,通过与传统Petri网推理及故障识别过程的对比,证明了采用CPN分析系统故障机理的正确性及在故障识别过程中的高效性。所提方法可为车载子系统的故障识别提供一定依据。展开更多
基金supported by the Fundamental Research Funds for the Central Universities(2016083)
文摘A useful life prediction method based on the integration of the stochastic hybrid automata(SHA) model and the frame of the dynamic fault tree(DFT) is proposed. The SHA model can incorporate the orbit environment, work modes, system configuration, dynamic probabilities and degeneration of components,as well as spacecraft dynamics and kinematics. By introducing the frame of DFT, the system is classified into several layers, and the problem of state combination explosion is artfully overcome.An improved dynamic reliability model(DRM) based on the Nelson hypothesis is investigated to improve the defect of cumulative failure probability(CFP), which is used to address the failure probability of components in the SHA model. The simulation using the Monte-Carlo method is finally conducted on two satellites, which are deployed with the same multi-gyro subsystem but run on different orbits. The results show that the predicted useful life of the attitude control system(ACS) with consideration of abrupt failure,degradation, and running environment is quite different between the two satellites.
基金Supported by National Natural Science Foundation of China（60974052） Program for Changjiang Scholars and Innovative Research Team in University （IRT0949） Beijing Jiaotong University Research Program （RCS2008ZT002 2009JBZ001 2009RC008）
文摘针对传统Petri网(P/T系统)无法根据后继标识确定系统失效部位的问题,采用着色Petri网(Colored Petri Net,CPN)建立动车组列控车载子系统的故障传播模型。首先,通过CPN与传统Petri网理论的对比说明采用CPN建模的可行性。其次,根据车载子系统的结构组成及工作模式建立故障树模型,并通过Petri网描述故障树逻辑门事件之间的逻辑关系,给出故障树的Petri网表示方法,建立车载子系统的P/T系统模型;进一步根据CPN理论确定托肯染色方法、权函数等模型参数,将P/T系统转化为着色网系统,并举例说明后继标识的计算规则。最后,通过与传统Petri网推理及故障识别过程的对比,证明了采用CPN分析系统故障机理的正确性及在故障识别过程中的高效性。所提方法可为车载子系统的故障识别提供一定依据。
