Availability modeling for periodically inspection system with different lifetime and repair-time distribution

Availability is a main feature of design and operation of all engineering system. Recently,availability evaluation of periodical inspection systems with different structures is at the center of attention due to the wide application in engineering. In this paper, an analytical and probabilistic availability model for periodical inspection system is proposed by a new recursively algorithm,which can achieve limiting average availability and instantaneous availability of periodical inspection system under arbitrary lifetime and repair-time distributions. Then three application examples are presented, the systems lifetime and repair-time are respectively fellow exponential/exponential,Weibull/normal and Weibull/lognormal distribution. Finally, a Weibull/lognormal system is studied to analyze the dynamic relationship between inspection period and availability. The results indicate that the proposed approach can provide the technology support for improving system availability and determining reasonable inspection period.     

A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.     

Percolation transition in temporal airport network

The air transportation system has a critical impact on the global economy. While the system reliability is essential for the operational management of air traffic, it remains challenging to understand the network reliability of the air transportation system. This paper focuses on how the global air traffic is integrated from local scale along with operational time. The integration process of air traffic into a temporally connected network is viewed as percolation process by increasing the integration time constantly. The critical integration time T_P which is found during the integration process can measure the global reliability of air traffic. The critical links at T_P are also identified, the delay of which will influence the global integration of the airport network. These findings may provide insights on the reliability management for the temporal airport network.     

Reliability and global sensitivity analysis for an airplane slat mechanism considering wear degradation

This paper focuses on the issue of reliability and global sensitivity analysis for an airplane slat mechanism considering the uncertainties in the wear process of mechanical components. First, the multi-body kinematic model of the slat mechanism is built in the ADAMS software. The geometrical sizes of the roller wheels after wear degradation are considered as input variables and the angle the slat should turn is considered as the output response. To accurately identify the influential roller wheels to the reliability and robustness of the slat mechanism, the failure probability based sensitivity and variance-based sensitivity indices are introduced. Comprehensive analysis of the results have shown that the reliability analysis and global sensitivity theory can help engineers find significant parts by their contributions, thus provide guidance for mechanical design and maintenance.     

某型飞机发动机安装架强度分析

某型飞机在换装新型大功率发动机后,对其发动机安装架也进行了相应的改进设计。本文就改进设计后的发动机安装架建立了有限元模型,并对其进行了载荷分析和强度校核。结果表明,该型飞机发动机安装架改进设计合理,改进后强度能满足使用要求。     

基于压力控制器的气压高度表自动检定系统

通过对航空气压高度表的工作原理和检定方法进行分析,提出了一种新的气压高度表检定方法。该方案采用广泛应用的PPC2气体压力控制器模拟产生精密气压高度信号,直接对航空气压高度表、航空大气数据计算机的静压和气压高度等项目进行检定,对具有RS232数据输出功能的电子式气压高度表可以实现自动检定,对这种方法的测量不确定度进行了分析。该方法具有操作便捷、可靠性高的特点。     

基于RBF神经网络的开关磁阻电机在线建模 及其实验验证

 为了获取开关磁阻电机(SRM)的精确模型,提出了一种基于径向基函数(RBF)神经网络对SRM进行建模的方法,主要包括离线建模和在线建模两部分。离线建模通过实验测量得到SRM的磁链特性曲线,并利用该数据训练RBF神经网络,实现SRM磁链的离线建模;在线建模是指当SRM的运行状态发生变化时,离线模型的估计磁链与实际磁链会产生误差,通过对神经网络的输出权值进行在线调节,实现具有在线动态调节功能的SRM在线模型。为了验证该方法的可行性,针对一台12/8结构的SRM样机进行仿真和实验,结果表明SRM的离线模型和在线模型在仿真和实验条件下均能正确地估计SRM的磁链特性,而且在线模型的估计精度高于离线模型,验证了本文的研究方法合理有效。     

测控任务可靠性的近似零方差重要抽样仿真

评价航天测控方案中的测控任务可靠性需要高效的方法,解析法和直接仿真都不能满足该要求。在介绍测控任务模型及其可靠性直接仿真法的基础上,基于不交化最小割集设计了实现近似零方差重要抽样的方法,并给出不交化最小割集的获取算法。通过案例分析,得出不交化最小割集最大获取数量越大,仿真收敛性越好,但相应地耗时也越多的结论。因此,实际应用中,需要在不交化最小割集获取数量与仿真时间二者间进行权衡。     

民用客机研制阶段签派可靠度分配和预计

讨论了民用飞机航班延误的主要原因,着重分析了因技术原因导致航班延误和取消的三类设备,并结合飞机的构型和主最低设备清单(建议书)(P)MMEL给出了在民用客机研制阶段签派可靠度的分配和预计的初步模型和计算方法,为签派可靠度的定量分配与预计以及设计构型方案的改进和权衡提供指导。     

某型固体火箭发动机的可靠性增长分析

对某型固体火箭发动机的可靠性增长进行了统计检验，在可靠性增长的基础上，用二项分布阶段可靠性增长的Bayes方法评定了该机的可靠性下限。结果表明，可靠性增长方法能充分利用信息，并可节省大量试验样本。